summarize_tuning_session

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

No annotations are provided, so the description must fully disclose behavior. It only states that the tool 'summarize[s]' but does not explain side effects, authorization needs, or whether it modifies state. Parameters like 'accepted' suggest potential state changes, but this is not addressed.

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 appropriately concise at one sentence, but it is under-specified. Every word counts, but the lack of detail impacts usefulness. It could be restructured to include key behavioral notes without adding 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 tool has 5 parameters, 2 required, and an output schema, the description is insufficient. It does not describe the return value, the effect of 'accepted' or 'feedback_tags,' or how the output schema relates to the summary. The description leaves significant gaps for an AI agent.

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. It does not explain any parameters, leaving the agent to rely on parameter names alone. While names like 'baseline_run_id' and 'candidate_run_id' are somewhat self-explanatory, the description adds no semantic value beyond the schema.

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 clearly states the verb 'summarize' and the resource 'baseline-to-candidate preview tuning step.' However, it does not differentiate from sibling tools like 'compare_preview_runs' or 'record_tuning_session_step,' which have similar purposes.

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, nor does it mention any prerequisites or exclusions. The single sentence lacks usage context.

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