analyze_data_driven_optimize_results

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

No annotations are present, so description should disclose behavioral traits. It mentions saving to files (side effect) but does not explain if it is destructive, requires permissions, or is idempotent. Lacks important behavioral details.

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 sentence, efficient, but it is underspecified. It earns points for being concise, but the lack of detail reduces its helpfulness.

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 three parameters (two required) and no parameter descriptions, the description should provide more context. It only gives a vague purpose and omits side effects, parameter meanings, and usage scenarios. Output schema existence doesn't compensate for the lack of input guidance.

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%, meaning the schema itself provides no descriptions for the three parameters. The description does not explain any parameters (output_path, top_n_prompts, analysis_data_path), so it adds no 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?

Description states 'Analyzes results and saves the detailed data to files' which gives a verb and resource, but lacks specificity about what results, what analysis, or how it differs from siblings like run_data_driven_optimize. Purpose is moderately clear but not distinct.

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?

No guidance on when to use this tool versus alternatives. No context about prerequisites, appropriate data, or exclusions provided.

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