agent_job_get
Job status/result (queued|running|completed|failed).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| structured_data_only | No |
Job status/result (queued|running|completed|failed).
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| structured_data_only | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations at all, the description carries the full disclosure burden, and it only hints at the async lifecycle via the status enum. It does not say whether the call blocks, whether repeated polling is expected, whether results are retained after completion, or what happens if job_id is unknown (error vs failed status).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is short but not efficient — a single noun phrase plus an enum, with no verb, no leading clause telling the agent what to do. This is under-specification rather than conciseness; there is room for one or two more sentences that would earn their place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter job-status getter with no annotations and no output schema, the description should convey the polling model and the return shape. It conveys neither, leaving the agent unable to know what a completed job returns or what structured_data_only changes.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must explain both parameters and does neither. job_id is guessable from the name, but structured_data_only is a non-obvious boolean with a default whose effect (filtering the result payload?) is completely undocumented anywhere.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The fragment "Job status/result" identifies the resource and implies a read of an existing job, and the parenthetical enum (queued|running|completed|failed) narrows what is returned. However it never states a verb explicitly and does not differentiate itself from agent_job_list or agent_job_submit beyond the name itself, so an agent must infer the getter role.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to call this versus agent_job_list (list all jobs) or agent_job_submit (create a job). There is no mention of the typical submit-then-poll pattern, no backoff or wait advice, and no statement about when the tool should not be used.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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