generate_word_document

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

Annotations indicate this is a non-readOnly, non-idempotent, non-destructive tool, which the description doesn't contradict. The description adds context about creating 'professional' documents with specific formatting, but doesn't disclose important behavioral traits like authentication needs, rate limits, error conditions, or what happens with existing files. With annotations covering basic safety, this earns a baseline score.

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, efficient sentence that front-loads the core purpose. It could be slightly more structured by explicitly mentioning the multi-action nature (create/get/list/export/append) hinted in the schema, but it's appropriately sized without wasted words.

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?

For a complex tool with 11 parameters, nested objects, no output schema, and annotations covering only basic hints, the description is minimally adequate. It states what the tool does but lacks details on return values, error handling, or advanced usage scenarios that would help an agent use it effectively.

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?

With 100% schema description coverage, the schema fully documents all 11 parameters. The description mentions 'analysis data' which loosely relates to the sections parameter, but adds no specific semantics beyond what the schema provides. The baseline is 3 when schema does the heavy lifting.

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 tool creates Word documents with specific formatting features (sections, tables, charts, table of contents) from analysis data. It distinguishes from sibling tools like generate_html_report and generate_powerpoint_presentation by specifying Word documents, but doesn't explicitly differentiate from generate_professional_report which might overlap in purpose.

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 doesn't mention prerequisites, when-not-to-use scenarios, or compare with sibling tools like generate_professional_report or generate_html_report. The agent must infer usage from the description alone.

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