colab_get_logs

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

With no annotations, the description carries the full burden of behavioral disclosure. It usefully reveals that logs are accumulated over time and that the tail parameter limits retrieval. However, it does not mention error behavior, log retention, or explicitly confirm that the operation is read-only, though 'Get' strongly implies it.

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, compact sentence with no filler. It front-loads the core action and resource, then adds the optional tail behavior. Every word contributes to understanding the tool.

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 simple two-parameter log-retrieval tool with no output schema and no nested objects, the description is largely complete. It explains the resource, the required job identifier, and the optional tail limit. It does not describe the return format, but the tool name and description make the expected log-line output reasonably clear.

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 compensate for the bare input schema. It adds meaning to both parameters: 'a job's' identifies job_id as the target job, and 'optionally only the last N' clarifies that tail is an optional count for log lines. This is sufficient for basic invocation.

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 states a specific verb ('Get'), a precise resource ('a job's accumulated log lines'), and an optional modifier ('only the last N'). This clearly distinguishes it from sibling tools like colab_get_job and colab_list_jobs, which focus on job status or listing rather than log content.

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 provides clear context: use this tool when you need a job's accumulated log output, optionally truncated to the last N lines. It does not explicitly name alternatives or state when not to use it, but the resource and purpose are specific enough to guide selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.