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lzinga

US Government Open Data MCP

clinical_trials_by_location

Read-only

Search for clinical trials near a geographic location using latitude and longitude. Filter by condition, intervention, or status to find relevant studies in your area.

Instructions

Search for clinical trials near a geographic location. Uses the ClinicalTrials.gov geo-distance filter to find trials within a radius of a latitude/longitude point. Combine with condition or intervention filters to find specific trials nearby.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYesLatitude of the search center: 38.9072 (Washington DC)
longitudeYesLongitude of the search center: -77.0369 (Washington DC)
distanceNoSearch radius with unit: '50mi' (default), '100km'
conditionNoFilter by condition: 'diabetes', 'breast cancer'
interventionNoFilter by intervention: 'pembrolizumab'
statusNoFilter by status (default: RECRUITING)
page_sizeNoResults per page (default 10)
Behavior3/5

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

Annotations already provide readOnlyHint=true, so the description's mention of using ClinicalTrials.gov geo-distance filter adds minor behavioral context but does not disclose any additional traits like rate limits or data freshness.

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 three sentences, each serving a clear purpose: state function, explain filter mechanism, suggest usage. No unnecessary words, front-loaded with key action.

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

Completeness4/5

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

Given the absence of an output schema, the description covers the tool's core function and usage context. It lacks details on return format, but the search purpose is well explained.

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 description does not add value beyond what the schema already provides for parameters. The suggestion to combine filters is already implied by the schema.

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

Purpose5/5

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

The description clearly states 'Search for clinical trials near a geographic location', using a specific verb and resource. It distinguishes from sibling tools like clinical_trials_search by emphasizing the location aspect.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the geo-distance filter and suggests combining with condition or intervention filters, giving context for use. However, it does not explicitly state when not to use this tool or mention alternatives.

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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