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Glama

Medicare Coverage

by io.github.pipeworx-io

Medicare Enrollment Trend

medicare_enrollment_trend
Read-onlyIdempotent

Show annual Medicare enrollment and Medicare Advantage/other, Original Medicare, Part D PDP, Part D MA-PD, and dual-eligible counts nationally or for one state. Enrollment counts are program participation, not utilization or revenue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoOptional two-letter state abbreviation; omit for national.
to_yearNo
from_yearNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsYes
sourceYes
geographyYes
interpretationYes

Schema Changelog

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

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds that counts are program participation, not utilization or revenue, which is useful context. However, it does not disclose other behavioral traits such as data update frequency or any limitations.

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 wasted words. It front-loads the core function and immediately adds a clarifying caveat.

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 simple parameter set, presence of output schema, and annotations, the description adequately covers the main purpose, geographic scope, and data semantics. Missing details like default year behavior are minor.

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?

Schema description coverage is only 33% (state described). The description mentions 'nationally or for one state' to clarify the state parameter, but does not explain the from_year and to_year parameters (e.g., valid ranges, default behavior, required formats).

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 it shows annual Medicare enrollment data broken down by plan types (Medicare Advantage, Original Medicare, Part D PDP, etc.) nationally or for one state. It distinguishes from utilization or revenue tools, which is a key differentiator among sibling 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 usage for enrollment counts by noting it is not utilization or revenue, but does not explicitly guide the agent on when to choose this tool over alternatives like medicare_hcpcs_utilization_trend or medicare_hospital_service_trend.

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

All Medicare Coverage toolsInspect
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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.

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