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ezhou89

Medical Research MCP Suite

by ezhou89

research_safety_details

Analyze drug safety profiles with FDA approval data and adverse event information for medical research and risk assessment.

Instructions

Detailed safety and FDA analysis for specific drug

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drugNameYesDrug name to analyze
includeAdverseEventsNoInclude adverse event analysis
includeApprovalsNoInclude FDA approval information
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. It mentions 'analysis' but doesn't specify whether this is a read-only operation, requires authentication, has rate limits, or what the output format looks like. For a tool with no annotations and no output schema, this leaves significant gaps in understanding its behavior.

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 directly states the tool's purpose without any fluff. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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?

Given the complexity of drug safety analysis, lack of annotations, and absence of an output schema, the description is insufficient. It doesn't cover behavioral aspects like data sources, response structure, or error handling, leaving the agent with incomplete context for effective tool invocation.

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?

The description adds no parameter semantics beyond what the input schema provides. However, schema description coverage is 100%, meaning all parameters are well-documented in the schema itself. This meets the baseline of 3, as the description doesn't need to compensate but also doesn't add extra value.

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 clearly states the tool's purpose: to provide 'Detailed safety and FDA analysis for specific drug'. It specifies both the resource (drug) and the analysis type (safety and FDA), though it doesn't explicitly differentiate from siblings like 'research_drug_safety_profile' or 'fda_adverse_events', which is why it doesn't reach a 5.

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 offers no guidance on when to use this tool versus alternatives. With multiple sibling tools related to drug research, safety, and FDA data (e.g., 'research_drug_safety_profile', 'fda_adverse_events'), there is no indication of context, prerequisites, or exclusions to help an agent choose appropriately.

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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