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Which data release is being served

release_info
Read-onlyIdempotent

Retrieve the pinned clear-pricer release details this server answers from: tag, manifest hash, source hospital and NPPES files, table row counts, and status.

Instructions

The pinned clear-pricer release this server answers from: its tag, the manifest hash it was verified against, the hospital price files and NPPES files it was built from, and each table's row count and status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesYes
originYesWhere the release files are fetched from
fingerprintYesclear-pricer's fingerprint of the release inputs
nppes_filesYes
price_filesYes
release_tagYes
manifest_sha256YesPinned in this server's source; the manifest is verified against it
check_values_verifiedYescheck_values.json matched the manifest's hash

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds genuinely new context beyond that: the data is a 'pinned' release 'verified against' a manifest hash, telling the agent the served data is deterministic and provenance-checked. It stops short of explaining what the 'status' values mean.

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?

A single sentence that front-loads the core concept (the pinned release this server answers from) before the colon-delimited list of contents. No filler, though the list is dense enough that it reads as an enumeration rather than prose.

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?

With no parameters, a complete set of annotations, and an output schema that already documents the return shape, an agent has nearly everything it needs. The only meaningful gap is the absence of guidance on when this should be consulted versus data_quality.

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?

The tool takes zero parameters, so the baseline is 4; there is no parameter semantics for the description to compensate for. The empty input schema is consistent with the no-argument nature of the tool.

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 names the specific resource and enumerates exactly what it returns: release tag, manifest hash, source hospital price and NPPES files, and per-table row counts/statuses. An agent can identify this as the provenance/release-metadata tool. It does not explicitly distinguish itself from the nearest sibling, data_quality, which likely also reports table-level status.

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 when-to-use statement, no prerequisite, and no reference to alternatives such as data_quality or any of the lookup tools. Usage is only inferable from the enumerated return contents.

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