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

Description mentions saving to files but doesn't disclose file format, overwrite behavior, required permissions, or side effects. With no annotations provided, the description carries full burden and fails to provide adequate transparency for a mutation tool.

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, which is concise but lacks structure. It fails to front-load key information or organize details (e.g., input, output, behavior). Every word should earn its place; here, the sentence is too vague to be useful.

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 3 parameters, an output schema, and no annotations, the description is severely incomplete. It doesn't explain what analysis is performed, what files are saved, or how the output schema relates. The description adds minimal context beyond the tool name.

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%, and the description adds no parameter details. 'output_path' and 'analysis_data_path' are not explained, and 'top_n_prompts' is omitted entirely. For a 3-parameter tool with no schema descriptions, the description must compensate but does not.

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 verb (analyze, save) and resource (results, data), but 'results' is vague and doesn't differentiate from sibling tools like generate_html_report. The name hints at data-driven optimization, but the description lacks specificity.

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. Does not mention prerequisites or when not to use. Sibling tools like run_data_driven_optimize and generate_html_report suggest possible scenarios, but description gives no context.

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