Medical Research MCP Suite

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 'analysis' implies a read-only operation, the description doesn't disclose important behavioral aspects like whether this is a computationally intensive operation, potential rate limits, authentication requirements, or what format the analysis results will be returned in. The description is too minimal for a tool with 5 parameters.

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 extremely concise with just 7 words, front-loaded with the core purpose. Every word earns its place, and there's no wasted language or redundancy. This is an excellent example of efficient description writing.

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 tool with 5 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what kind of analysis will be performed, what information will be returned, or how this differs from other research tools. The agent would need to guess about the tool's behavior and output format based on minimal information.

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 already documents all parameters thoroughly. The description mentions 'specific drug/condition' which aligns with the required parameters, but adds no additional semantic context beyond what's in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting.

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 'Detailed clinical trials analysis for specific drug/condition' clearly states the tool's purpose with a specific verb ('analysis') and resources ('clinical trials', 'drug/condition'). It distinguishes from some siblings like 'fda_adverse_events' or 'pm_search_papers' but doesn't explicitly differentiate from similar research tools like 'research_comprehensive_analysis' or 'research_safety_details'.

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. With multiple sibling research tools available (research_competitive_landscape, research_comprehensive_analysis, research_safety_details, etc.), there's no indication of when this specific clinical trials analysis tool is appropriate versus other research tools.

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