Key takeaways
- A successful handler can return native work that remains queued or running.
- Use the correct operation, post, run, and delivery identifiers for each status read.
- Poll accepted work instead of creating replacement mutations when progress is slow.
An MCP tool returns “succeeded,” but the carousel images are not ready. That can be correct behavior when the tool handler successfully queued native generation and returned its reference. The mistake is treating the handler's completion as the end of every process it started.
Caroush documents both MCP operation states and the native content or delivery states behind them. A dependable client follows the returned references until it reaches the outcome relevant to the user's task. It does not submit replacement work just because an asynchronous result is not immediately visible.
Identify what the first response actually completed
A tool response can mean that an object was saved immediately, a review request was recorded, or background work was accepted. The input operation and result schema determine which interpretation is correct.
The MCP tools specification supports structured results and errors. It does not make every business operation synchronous. The HTTP Semantics standard likewise distinguishes response semantics from the application's eventual effects.
Caroush's jobs documentation states that a succeeded MCP envelope means the handler returned successfully. It does not promise that AI generation, provider processing, or publication finished. Inspect the returned data for the next resource reference.
For a carousel request, the useful outcome is the actual generated content and its review state. Acceptance into a queue is an intermediate milestone that the assistant should report as such.
Keep operation and native resource identifiers distinct
Caroush can return a request_id for traceability and an operation_id for MCP background work. The operation's result may then contain a native carousel, automation run, or publishing delivery reference. Each identifier belongs to a different inspection path.
Use get_job_status for the MCP operation according to its schema. For carousel generation, follow the documented post_id through get_carousel. For an automation run, use the documented kind and run_id through get_automation_run. For publication, inspect the returned schedule or delivery through get_schedule.
Do not guess which identifier a read tool expects. A schedule_id is a delivery identifier, not simply the original generated post's ID. Supplying the wrong type can produce a misleading not-found result even when the work exists.
A task record should preserve these relationships. For a content-generation workflow, one concise handoff can list the original task, the accepted operation, and the native object still being processed. That is easier to maintain than a long chat full of disconnected identifiers.
Inspect the nested operation state
A status-read tool can succeed at retrieving information about an operation that is still running or has failed. Its outer envelope describes the read; the inspected operation's state appears inside the returned data.
Caroush documents this explicitly for get_job_status. If a client only checks the outer succeeded value, it can incorrectly tell the user that the original task completed. The client must inspect data.status and any associated result or error according to the schema.
This is a common source of false progress reports because every poll can return a technically successful read. The sequence of reads may be healthy while the underlying job remains stuck. Treat the two questions separately: can we retrieve the status, and what is that status telling us?
The assistant's explanation should preserve that distinction. “I can read the operation, and it is still queued” is useful. “The job succeeded” is unsupported when success belongs only to the status lookup.
Poll gradually and stop when the decision is available
Polling is observation, not acceleration. Checking every moment does not make the worker process content faster. It can consume rate capacity and generate repetitive output without improving the user's ability to decide.
Follow the current service guidance and returned retry information. Begin with a reasonable interval, back off when progress is unchanged, and avoid several clients monitoring the same operation independently. Caroush's error guide provides illustrative pacing, but fixed timing from a blog should not override current server instructions.
Stop when the relevant resource reaches a terminal state, when approval is needed, or when monitoring responsibility is handed to a person. A request waiting for user approval will not become authorized because the assistant polls more frequently.
This is a practical addition to a content-batching process. Assign one owner to follow each accepted job and share meaningful changes rather than creating a separate polling loop for every interested teammate.
Handle slow, failed, and unknown work differently
Slow work may still be progressing. Failed work has a reported error to inspect. An unknown outcome means the system cannot confirm the effect and needs reconciliation. These states should not all trigger another generation request.
Caroush's documented recovery distinguishes dispatch_failed from outcome_unknown. A dispatch failure can use the identical call and idempotency key under the documented retry rule. Unknown work requires inspection of existing content or delivery records before a new intentional request.
If a job remains queued unexpectedly, the operator may need to inspect workers, scheduler activity, and queue configuration. The assistant should provide the request and operation references with a clear description of the last observed state. It should not claim to have repaired backend infrastructure merely by resending the user's prompt.
For a scheduled delivery, also inspect whether the provider stage is pending or failed. A running worker and a pending social provider are different operational layers with different owners.
Preserve the user's original action during recovery
A mutation's idempotency key belongs to the intended action. Reuse it with exactly the same arguments only where the service documents an identical retry. Creating a new key creates a new intentional request within the connection's namespace.
Suppose a team requests a six-slide product explainer. The handler succeeds and returns a post reference, but image generation takes longer than expected. The next action is to inspect that carousel, not create a second six-slide request with a fresh key.
If the brief changes while the first run is active, acknowledge that the team now has a new editorial decision. Determine what the existing run produced and use the supported revision workflow. Do not mix changed arguments into a retry of the original action.
A clear handoff can say that the original generation is unresolved and that no replacement has been submitted. That prevents another teammate from interpreting the delay as permission to start duplicate work.
Report partial progress without inventing completion
A useful progress update names the verified milestone and the remaining dependency. For example, the request was accepted, the native carousel run is processing, and the team still needs to inspect the finished slides. For publication, the request may be approved while a delivery remains pending.
Do not invent asset URLs or public permalinks to make the update feel complete. Use only the returned objects and real post_url values when available. If the service has not supplied a final link, say what remains pending.
Similarly, distinguish generated content from editorial approval. Finished images can still contain mistakes, and an approved carousel is not automatically scheduled. The asynchronous pipeline ends at different points depending on the task the user authorized.
Your completion report should answer the user's actual question. A draft-only task is complete when the requested draft is saved and inspectable. A publication task needs evidence from the requested delivery destinations, not merely the draft or generation stage.
Test a two-stage result before relying on automation
Use a controlled fixture or an authorized low-impact generation test to verify that the client follows an MCP operation into its native resource. Check the nested state interpretation, polling behavior, and final explanation.
Also test a terminal failure and an unresolved outcome. The client should stop, preserve references, and explain the next inspection step. It should not silently loop into new paid generation or new publication requests.
A background workflow becomes dependable when every accepted piece of work has an identity, an owner, and a meaningful terminal condition. The conversation can remain concise while the underlying state is precise. That is how an assistant stays helpful during asynchronous work without confusing responsiveness with completion.
Sources
Frequently asked questions
Why are images missing after the MCP handler succeeds?
The handler may have successfully queued native generation. Inspect the returned carousel or run reference through its documented status tool.
Where is an operation’s state in get_job_status?
The outer response describes the status-read call. The inspected operation’s own state is inside the returned data and must be interpreted separately.
Should I regenerate if a status read times out?
No. A failed read does not prove generation failed. Preserve the existing references and inspect the accepted work before requesting another action.
What should an assistant report while work is pending?
Name the verified milestone, the resource still processing, and the next review or inspection step. Do not invent finished assets or public permalinks.
About Garry
Gaurav Sapkota builds Caroush, a workspace for creating, scheduling, and publishing social content.







