Skip to main content
Glama
clarifyhealth

cms-datagov-mcp-server

cms_search_datasets

Search CMS healthcare datasets by keyword, theme, or title to find matching datasets with IDs, titles, descriptions, and available formats.

Instructions

Search CMS datasets by keyword, theme, or title. Returns a list of matching datasets with their IDs, titles, descriptions, and available formats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default: 10)
queryNoSearch term to find in dataset titles, descriptions, or keywords
themeNoFilter by theme (e.g., 'Medicare', 'Medicaid', 'Hospital')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It helpfully discloses the return shape (IDs, titles, descriptions, formats), but says nothing about pagination, result limits beyond the default, rate limits, or that this is a safe read-only operation.

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?

Two tight sentences: the first states purpose, the second states the return contents. Nothing is wasted and the most important information is front-loaded.

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?

For a simple search tool with full schema coverage and no output schema, the description covers purpose and return structure adequately. It misses routing guidance versus alternative query/get tools and result-pagination behavior, but those are minor for this complexity level.

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 baseline is 3. The description adds only a light echo of the query/theme parameters ('keyword, theme, or title') and no additional syntax, format, or matching behavior details beyond the schema.

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 states a specific verb (Search) and resource (CMS datasets) with the searchable facets (keyword, theme, title). It clearly conveys what the tool does, though it does not explicitly differentiate itself from siblings like cms_query_dataset or cms_get_dataset.

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?

It gives no explicit when-to-use guidance, no exclusions, and never names an alternative among the several sibling tools. Usage is only implied by the search-oriented phrasing.

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