get_job
Status, counters and download URL of a job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Status, counters and download URL of a job.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It implies a read-only lookup but says nothing about error behavior for an unknown/expired job_id, whether the call blocks, whether results are eventually consistent, or any auth requirements.
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?
A single tight sentence with the most useful information (the returned fields) front-loaded and no filler. It is efficient, though the terseness borders on under-specification rather than optimal brevity.
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?
No output schema exists, and the description does partially compensate by listing the returned payload (status, counters, download URL). However, for a job-status tool it omits polling/terminal-state behavior and job_id semantics, leaving meaningful gaps.
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% and the single parameter job_id is undocumented in the schema. The description adds no meaning about the parameter (format, source, where to obtain it), so it fails to compensate for the coverage gap.
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 description names a specific resource (a job) and enumerates what it returns: status, counters and download URL. That is clearer than a bare restatement of the name and lets an agent infer it is distinct from get_job_results, but it never explicitly names or contrasts with that sibling.
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?
There is no guidance on when to call this versus list_jobs or get_job_results, nor any stated precondition (e.g. job must exist, poll until complete). The agent must infer usage entirely from the tool name.
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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