colab_inspect

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

No annotations are provided, so the description carries the burden. It discloses a specific behavioral trait: 'On incarnation error, discard results and reacquire,' which gives some insight into error recovery. However, it does not explain the return value, side effects, or any resource requirements, leaving significant gaps.

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 brief and front-loaded with no wasted words. However, the second sentence is cryptic and might sacrifice clarity for brevity, but it remains efficient in length.

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 absence of an output schema and annotations, the description is insufficiently complete. It does not explain what 'runtime resources' includes, the format of results, or how the parameters affect the inspection. The error-handling note is present but lacks context.

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 100%, so the baseline is 3. The description does not add any meaning to the parameters (tools, session, process_limit) beyond what the schema already provides, so it neither enhances nor detracts from parameter understanding.

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 'Inspect runtime resources' with a clear verb and resource, but 'runtime resources' is broad and ambiguous, especially given sibling tools like colab_process_list, colab_sessions, and colab_health. It does not specify what exactly is inspected or how it differs from related tools.

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 no guidance on when to use this tool versus alternatives. It only gives a high-level action and an error-handling note, with no mention of use cases, prerequisites, or situations where this tool is preferred.

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