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Find billing codes and Medicare rates by plain words

search_services
Read-onlyIdempotent

Find billing codes and Medicare rates by plain words. For when someone describes a service but has no code, or asks what a code means, for example "what's the code for a colonoscopy?", "how much does Medicare pay for a chest x-ray in Ohio?" or "what is code 99214?". Returns up to eight matching codes with Medicare's typical allowed and billed amounts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesPlain words or a code, like "hernia repair" or 99214.
stateNoUS state name or two-letter code.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, open-world, non-destructive behavior, so the safety profile is covered. The description adds real value beyond them: result cardinality ('up to eight matching codes') and return content (Medicare's typical allowed and billed amounts). It omits what happens on no-match, but that is minor.

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?

Front-loaded core purpose followed by trigger conditions and return summary, with no filler. Three illustrative examples are one more than strictly needed and the phrase 'by plain words' repeats the title, so it is efficient but not maximally tight.

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 output schema, the description adequately characterizes the response (up to eight codes with allowed and billed amounts), and both parameters are covered by the schema plus the state example. Missing only edge-case behavior such as no-match results or any default for state.

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?

Schema coverage is 100%, so both parameters are self-documented; per the rubric the baseline is 3. The Ohio example adds meaning the schema does not: it shows that `state` materially changes the Medicare rate, not just a formatting hint.

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?

States a specific verb (find) plus two concrete resources (billing codes, Medicare rates) and the input modality (plain words). It implicitly separates itself from check_price by scoping to the no-code/description case, but it never names a sibling tool, so an agent must infer the boundary.

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?

Gives an explicit trigger condition ('when someone describes a service but has no code, or asks what a code means') backed by three concrete user utterances. It stops short of stating when NOT to use it (e.g., when a definitive code is already known), leaving a gap against check_price.

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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