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Augmented-Nature

Unofficial Clinical Trials MCP Server

search_by_location

Find clinical trials near you by searching with city, state, country, or facility name. Filter by search radius to discover relevant medical studies in your area.

Instructions

Find clinical trials by geographic location

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoCountry name
stateNoState or province
cityNoCity name
facilityNameNoName of medical facility or institution
distanceNoSearch radius in miles (when using city)
pageSizeNoNumber of results to return (default 10, max 100)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the purpose without disclosing behavioral traits such as whether the tool is read-only, what happens with missing parameters, or any side effects. This is insufficient for a search tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is a single, concise sentence with no wasted words. However, it could be slightly improved by front-loading the core action and listing key parameters, but it remains efficient.

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 tool has 6 parameters and no output schema, the description is too minimal. It does not explain how parameters like 'distance' relate to 'city', how results are ordered, or what the default behavior is. This leaves the agent with incomplete context for correct usage.

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 input schema has 100% coverage, with clear descriptions for each parameter. The tool description adds no additional meaning beyond what is already in the schema, so it meets the baseline but does not exceed it.

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 finds clinical trials by geographic location, which is a specific verb+resource combination. However, it does not differentiate from sibling tools like 'search_international_studies' or 'search_studies', which could also involve location filtering.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention any exclusions, prerequisites, or scenarios where other search tools would be more appropriate.

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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