generate_word

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

With no annotations provided, the description carries full burden. It discloses that the output includes 'headings, paragraphs, bullet points, and proper formatting' but lacks details on potential limitations (e.g., file size, images, tables) or side effects. Additional behavioral context would improve transparency.

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 two sentences plus an example list, with the purpose front-loaded. Every sentence adds value, and there is no redundancy. Highly concise and well-structured.

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 3 parameters with full schema coverage and no output schema, the description adequately covers the tool's purpose, typical use cases, and expected output characteristics. It does not explain return values explicitly, but that is not required. Minor gaps in limitations transparency, but overall complete for its complexity.

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 meaning beyond what the schema provides for parameters; it only states 'from natural language' which aligns with the schema. No additional semantic details are given.

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 uses a specific verb ('Generate') and resource ('Word document (.docx) from natural language') and explicitly lists example uses (proposals, reports, meeting minutes, manuals) which clearly distinguishes it from sibling tools like generate_code, generate_excel, and generate_ppt.

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 clear usage contexts ('Use this for proposals, reports, meeting minutes, manuals, or any formal document') but does not explicitly state when not to use or mention alternatives. However, the siblings are distinct enough that no exclusion is needed.

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