generate_word_document

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

Annotations indicate this is a non-read-only, non-idempotent, non-destructive tool, but the description adds minimal behavioral context. It mentions creating documents 'from analysis data,' which hints at input requirements, but doesn't cover rate limits, authentication needs, error handling, or what happens on failure. The description doesn't contradict annotations, but adds only basic context beyond them.

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, well-structured sentence that efficiently conveys the core functionality. It's front-loaded with the main action and key features, with no wasted words. However, it could be slightly more concise by avoiding the redundant 'professional' qualifier, but overall it's appropriately sized.

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's complexity (11 parameters, nested objects, no output schema) and minimal annotations, the description is adequate but incomplete. It covers the 'what' but lacks details on usage, behavioral traits, or output expectations. For a multi-action tool with significant parameter complexity, more context would be beneficial, but it meets minimum viability.

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 schema fully documents all 11 parameters. The description adds no parameter-specific information beyond the general mention of 'formatted sections, tables, charts, and table of contents,' which loosely maps to some parameters but doesn't provide additional semantics. This meets the baseline for high schema coverage.

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's purpose: 'Create professional Word documents with formatted sections, tables, charts, and table of contents from analysis data.' It specifies the verb ('Create'), resource ('Word documents'), and key features. However, it doesn't explicitly differentiate from sibling tools like 'generate_powerpoint_presentation' or 'generate_html_report' beyond mentioning Word documents, which is why it doesn't reach a perfect score.

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 any prerequisites, constraints, or scenarios where this tool is preferred over other document-generation tools in the sibling list. The agent must infer usage from the description alone, which lacks explicit when/when-not instructions.

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