generate_report

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

No annotations are provided, so the description carries the full burden. It only states the tool synthesizes a report, without disclosing output format, handling of missing data, failure modes, or any side effects. For a complex generative tool, this is insufficient.

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, front-loaded sentence with no wasted words. However, it is too brief for the tool's complexity, sacrificing clarity for brevity.

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?

The tool has six parameters with nested objects and no output schema, yet the description provides no information about expected outputs, report structure, or handling partial data. This high-complexity tool lacks essential contextual 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% and the tool description does not explain any of the six parameters (profiles, comparison, marketGaps, competitors, ideaAnalysis, innovationScores). The description adds no semantic value beyond the bare parameter names.

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 'Synthesize' and clearly states the output (full C-level strategic report) and the input (competitive research data). This distinguishes it from sibling tools that focus on individual research steps like discovery or comparison.

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 implies the tool should be used when competitive research data is available, but it does not explicitly state when to use it relative to sibling tools or when not to use it. There are no explicit alternatives or prerequisites mentioned.

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