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lzinga

US Government Open Data MCP

cms_nursing_homes

Read-only

Retrieve nursing home provider information, five-star ratings, quality measures, and health deficiency citations. Filter results by state to analyze facility performance.

Instructions

Query CMS nursing home data: provider info with five-star ratings, quality measures, health deficiencies/citations. Filter by state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNoNursing home dataset to querynursing_home_info
stateNoTwo-letter state code
limitNoMax results (default 50)
Behavior3/5

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

The readOnlyHint annotation already indicates a safe read operation. The description adds that the tool is for querying data, which is consistent, but does not provide additional behavioral details such as result structure, pagination, or error handling. This is adequate given the annotation coverage.

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, front-loaded sentence that efficiently communicates the tool's purpose and key features. No extraneous words or repetition.

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?

The description covers the tool's purpose and filtering capability. While it does not mention the limit parameter or explicitly list available datasets, the schema provides full coverage for those details. The description is sufficiently complete for an agent to understand the tool's use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema description coverage, the baseline is 3. The description adds value by listing the types of data (provider info, ratings, quality, deficiencies), which map to the dataset enum values and clarify the tool's capabilities beyond the enum labels.

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 that the tool queries CMS nursing home data with specific elements (provider info, five-star ratings, quality measures, deficiencies). The tool name and description effectively differentiate it from siblings like cms_hospitals and generic query tools.

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

Usage Guidelines3/5

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

The description implies the tool should be used when nursing home data is needed, but it lacks explicit guidance on when to use this tool vs. alternatives like cms_hospitals or cms_query. No when-not or alternative tool references are provided.

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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