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Glama

Medicare Hcpcs Utilization Trend

medicare_hcpcs_utilization_trend
Read-onlyIdempotent

Show annual Medicare Physician & Other Practitioners national utilization and payment metrics for one HCPCS code. Claims are fee-for-service aggregates with suppression and methodology limits; they do not measure total US use, coverage, demand, or company revenue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_yearNo
from_yearNo
hcpcs_codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsYes
sourceYes
hcpcs_codeYes
interpretationYes

Schema Changelog

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

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

The description goes beyond the annotations (which indicate read-only, open-world, idempotent, non-destructive) by clarifying that data is fee-for-service aggregates with suppression and methodology limits, and that it does not measure total US use, coverage, demand, or revenue. No contradiction with annotations.

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 sentences, no wasted words. The first sentence states the core purpose, the second adds critical limitations. It is front-loaded and every sentence earns its place.

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 presence of an output schema and comprehensive annotations, the description adequately covers data limitations and scope. It could mention that the tool returns metrics for the requested code, but the output schema presumably handles that. Minor improvement would be to note that at least one year must be present (since from_year and to_year are optional).

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

Parameters2/5

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

With 0% schema description coverage, the description must compensate. It adds minimal parameter meaning: implies hcpcs_code identifies a single code, and mentions 'annual' suggesting from_year/to_year define a range. But it does not specify defaults, valid ranges, or formatting requirements for the parameters.

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 uses a specific verb ('Show') and identifies the resource ('annual Medicare Physician & Other Practitioners national utilization and payment metrics') and scope ('for one HCPCS code'). It clearly distinguishes from sibling tools that cover geography, coverage, or multiple codes.

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?

The description does not provide any guidance on when to use this tool versus alternative tools. No explicit context for when to choose it over siblings like medicare_hcpcs_geography or compare_entities.

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.