colab_log

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

No annotations are provided, so the description carries the full burden. It does disclose one non-obvious behavior (session omitted -> lists sessions with logs) and hints at event categories, but says nothing about ordering of entries, retention, or whether the call is side-effect free, which matters for a log-reading tool with no annotation coverage.

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?

Two short sentences, zero filler, and the primary behavior is front-loaded before the fallback case. The parenthetical on event_type adds meaning rather than padding.

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?

An output schema exists, so return-shape explanation is not needed, and all three parameters receive some semantic treatment. The remaining gap is sibling differentiation versus colab_job_logs and the full event_type vocabulary.

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, and it largely does: `lines` = count of last entries, `session` = which session (with fallback semantics when null), and `event_type` is illustrated with concrete values (execution, file_operation). Only the exhaustive set of event_type values is left unstated.

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?

States a specific resource (a session's history/log entries) and scope (last `lines` entries), with a parenthetical clarifying what `event_type` values look like. It is clear what the tool returns, though it does not explicitly distinguish itself from the sibling colab_job_logs (job logs) beyond the word 'session'.

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 one piece of routing guidance given is behavioral: omitting `session` switches to listing sessions that have logs. That is useful, but there is no statement of when to prefer this over colab_job_logs or other log-adjacent siblings, nor any prerequisites.

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