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Open Payments Company

open_payments_company
Read-onlyIdempotent

Search payments reported by a manufacturer or GPO in one CMS Open Payments program year. Company matching is a case-insensitive substring and may combine similarly named legal entities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
limitNo
offsetNo
companyYes
payment_typeNo
minimum_amountNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetYes
paymentsYes
returnedYes
payment_typeYes
program_yearYes
total_matchesYes
interpretationYes

Schema Changelog

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

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already indicate readOnly, openWorld, idempotent, non-destructive. The description adds useful behavioral details: search results may combine similarly named legal entities and matching is case-insensitive. This goes beyond annotations, though it does not cover pagination or result limit behavior.

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: first clearly states purpose, second adds critical matching details. No unnecessary words, information is front-loaded and directly useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (6 parameters, multiple sibling tools), the description lacks details on parameters like payment_type, minimum_amount, and pagination. It also does not help differentiate when to use this vs other open_payments tools. The output schema is present but the description should still contextualize return values.

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 0%, so description must carry the burden. It explains only the 'company' parameter behavior (case-insensitive substring, combining entities). Other parameters (year, limit, offset, payment_type, minimum_amount) are not described. The description does not fully compensate for the lack of schema descriptions.

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?

Description clearly states the action ('Search payments reported by a manufacturer or GPO') and scope ('in one CMS Open Payments program year'). It distinguishes from sibling tools like open_payments_physician or open_payments_product by focusing on payments by company rather than recipient or product.

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?

Provides partial guidance on matching behavior (case-insensitive substring, combining similar entities) but does not explicitly state when to use this tool versus alternatives such as open_payments_search or open_payments_company_history. No comparative usage advice.

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

A3.6/5.0
Disambiguation3/5

Tools like ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are very similar, causing potential confusion. The open_payments_* tools are clearly differentiated, but the mix of generic Pipeworx tools with domain-specific ones creates overlapping purposes.

Naming Consistency2/5

Tool names mix conventions: some use snake_case (ask_pipeworx, open_payments_company), while others use less consistent patterns (deep_research, generate_llms_txt). The open_payments_* tools have a consistent prefix, but the overall set lacks a unified naming scheme.

Tool Count2/5

With 41 tools, the server is heavily overloaded for a domain focused on CMS Open Payments. The majority of tools are general-purpose Pipeworx tools unrelated to the server's name, making the count feel excessive and unfocused.

Completeness3/5

The open_payments_* tools cover the CMS Open Payments domain well (search, company, physician, history, etc.). However, the inclusion of many unrelated Pipeworx tools means the server as a whole is not cohesive, and the completeness of the named domain is overshadowed.