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Glama

Medicare Lcd Detail

medicare_lcd_detail
Read-onlyIdempotent

Retrieve one Medicare LCD by document ID and version. Detailed LCD text requires a CMS license-agreement bearer token because documents may contain licensed AMA/ADA/AHA material; pass _licenseToken obtained directly from CMS after accepting those terms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNo
document_idYes
_licenseTokenYesCMS Coverage API license token, valid for one hour.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
source_urlYes
document_idYes
interpretationYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The description adds behavioral context beyond annotations by disclosing the license token requirement and its rationale. Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and no destructiveness, and the description aligns with these while adding specific constraints.

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 two sentences with no extraneous information. The first sentence states the purpose, and the second provides essential context about the license token. Every word is substantive.

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 output schema exists, the description adequately covers purpose, key parameter, and a critical licensing restriction. It is missing explicit mention of the optional version parameter and error handling, but the overall completeness is high for a retrieval tool.

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?

With only 33% schema description coverage, the description adds meaning by explaining the _licenseToken purpose and validity duration, and clarifying that the tool retrieves by document_id and version. However, it does not detail the optional version parameter's behavior or constraints.

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 the tool retrieves one Medicare LCD by document ID and version, using specific verbs and resources. It distinguishes from sibling tools like medicare_lcd_search, which searches for multiple LCDs.

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 when the tool is used (to retrieve a specific LCD) and provides crucial guidance on the required _licenseToken, including why it's needed (licensed AMA/ADA/AHA material) and how to obtain it. However, it doesn't explicitly contrast with alternative tools for when not to use this tool.

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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TDQS

A3.5/5.0
Disambiguation2/5

The server mixes Medicare-specific tools with many unrelated general-purpose tools (e.g., bet_research, polymarket_arbitrage, remember), and there are multiple similar ask_pipeworx variants. This makes it difficult for an agent to distinguish which tool is appropriate for a given task without confusion.

Naming Consistency2/5

Tool names follow no consistent pattern. Some use a medicare_ prefix with underscores, others use generic verbs like forget, recall, or compound names like ask_pipeworx, deep_research. There is no uniform verb_noun or noun_verb structure.

Tool Count2/5

57 tools is excessive for a server ostensibly focused on 'Medicare Coverage'. Many tools (e.g., bet_research, polymarket_edge_tracker, scan_dependency) are unrelated to Medicare and should be in separate servers, inflating the count and diluting focus.

Completeness4/5

The Medicare-specific tools cover a broad range: NCDs, LCDs, NCAs, enrollment, DME, Part D, hospital, outpatient, post-acute, and provider data. Minor gaps include Medicare Advantage (Part C) and Medicare Supplement, but the coverage is largely comprehensive.