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ezhou89

Medical Research MCP Suite

by ezhou89

research_literature_details

Analyze detailed medical literature for specific drugs and conditions by retrieving and summarizing research from PubMed, ClinicalTrials.gov, and FDA databases.

Instructions

Detailed literature analysis for specific drug/condition

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drugNameYesDrug name to analyze
conditionYesMedical condition
timeframeNoPublication timeframe3years
publicationTypesNoFilter by publication types
maxTokensNoMaximum tokens for the response
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Detailed literature analysis' suggests a read-only operation, but the description doesn't specify whether this is a search, retrieval, or analysis operation, what data sources are used, whether there are rate limits, authentication requirements, or what format the analysis takes. For a tool with 5 parameters and no annotations, 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for what it communicates and is front-loaded with the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 5-parameter tool with no annotations and no output schema, the description is inadequate. It doesn't explain what kind of analysis is performed, what the output looks like, what data sources are queried, or how this differs from related 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.

Parameters3/5

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 5 parameters thoroughly. The description mentions 'drug/condition' which aligns with the two required parameters, but adds no additional semantic context beyond what's in the schema. With complete schema coverage, the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Detailed literature analysis for specific drug/condition' clearly states the verb ('analysis') and resource ('literature'), and specifies the scope ('for specific drug/condition'). However, it doesn't explicitly differentiate from sibling tools like 'research_clinical_details' or 'pm_search_papers', which appear related but have different focuses.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 tools like 'research_clinical_details', 'research_comprehensive_analysis', and 'pm_search_papers', there's no indication of what makes this tool distinct or when it should be preferred over others.

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

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