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job_log

Retrieve the tail of a job's transcript to inspect assistant messages, tool calls, and results. Use job_id to get the latest log lines for debugging or monitoring.

Instructions

Tail of a job's human-readable transcript (assistant text, tool calls, results).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
tail_linesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral burden. It does disclose that the tool returns the tail of a transcript and what content categories are included, but it does not describe behavior for missing jobs, incomplete jobs, or error conditions. This is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One concise sentence with no filler. 'Tail of a job's human-readable transcript' is front-loaded and the parenthetical content list adds useful scope without bloating the text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple and has an output schema, so return values need not be re-described. However, with no annotations and no parameter-level details, the description leaves some context implicit, such as the unit for tail_lines and whether the tool is safe for active jobs. An agent can still call it, but the context is minimally sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but it does not explicitly explain job_id or tail_lines. The word 'Tail' loosely implies tail_lines controls how much is returned, and job_id is inferable from 'a job's transcript', but the meaning of the default and the line-count semantics are left to the schema titles only.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and action: retrieving the tail of a job's human-readable transcript. It also clarifies content type (assistant text, tool calls, results), which distinguishes it from status-oriented siblings like job_status or list_jobs, though it does not name them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance about when to use this tool versus alternatives such as job_status, wait_job, or list_jobs. The phrase 'tail of a job's transcript' weakly implies a read-after-run scenario, but no exclusions or selection criteria are stated.

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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