get_job_results
Get the test-case results of a job, showing pass or fail status for each case.
Instructions
Get a job's test-case results (pass/fail per case).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| limit | No |
Get the test-case results of a job, showing pass or fail status for each case.
Get a job's test-case results (pass/fail per case).
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| limit | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the basic purpose but does not describe return format, pagination, error handling, or any side effects.
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?
The description is a single sentence of 9 words with no filler, front-loading the verb and resource.
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?
Given the simplicity of the tool (2 parameters, no output schema), the description lacks important context such as what fields are returned, how pagination works, and how this tool relates to siblings like 'get_job_logs'.
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%, meaning parameters have no descriptions in the schema. The description does not explain the meaning of 'job_id' or 'limit', nor does it clarify what 'limit' controls (likely number of test cases).
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 uses a specific verb 'Get' and clearly identifies the resource as 'a job's test-case results' with the clarifying parenthetical '(pass/fail per case)'. This distinguishes it from siblings like 'get_job' (metadata) and 'get_job_logs' (logs).
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?
The description does not provide any guidance on when to use this tool versus sibling tools like 'get_job' or 'get_job_logs', nor does it mention prerequisites or exclusions.
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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