aeo_seo_research_render_research_report

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

With no annotations, the description carries full burden. It does not disclose behavioral traits like input format requirements, side effects, or error conditions. For example, it is unclear what happens if report_data is missing or invalid.

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 of 14 words, which is concise and front-loaded. However, the brevity comes at the cost of missing details that could be included without being verbose.

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 render tool, the description lists some contents but lacks workflow context (e.g., it should mention generating research first) and does not describe the output format beyond 'HTML report'. The absence of an output schema places more burden on the description.

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%, yet the description adds no meaning to the parameters. It does not explain what report_data expects (e.g., a JSON string or variable reference) or the purpose of output_variable_name. The defaults are present but not clarified.

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 renders AEO/SEO research as an HTML report and lists the content (keyword opportunities, citation gaps, recommendations). However, it does not differentiate from sibling tools that also render HTML reports for other domains.

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 is provided on when to use this tool versus alternatives, such as the prerequisite aeo_seo_research_generate_research_action. No when-not-to-use or alternative tool names are mentioned.

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