research_comprehensive_analysis

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions the types of data sources (clinical trials, literature, safety data), it doesn't describe what the analysis actually produces, whether it's a synthesis or just aggregated data, how long it might take, or any limitations. For a complex analysis tool with multiple parameters, this is insufficient behavioral context.

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 states the core purpose without unnecessary words. It's appropriately sized and front-loaded with the essential information about what the tool does.

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 analysis tool with 6 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the output looks like, how the different data sources are integrated, or what distinguishes this from simpler sibling tools. The agent would struggle to understand when and how to use this tool 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?

Schema description coverage is 83% (high), so the baseline is 3 even though the description adds no parameter information. The description doesn't explain what 'comprehensive analysis' means in terms of how the parameters interact or what different analysisDepth levels entail, but with good schema coverage, this isn't required for a baseline score.

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 performs 'comprehensive analysis' combining clinical trials, literature, and safety data, which is a specific verb+resource combination. However, it doesn't explicitly distinguish this from sibling tools like research_clinical_details, research_literature_details, or research_safety_details, which appear to provide more focused analyses.

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 the many sibling tools available. There's no mention of alternatives, prerequisites, or specific contexts where this comprehensive analysis is preferred over more targeted tools like research_executive_summary or research_competitive_landscape.

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