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lzinga

US Government Open Data MCP

by lzinga

congress_bill_subjects

Read-onlyIdempotent

Retrieve legislative subjects and primary policy area for a specific bill. Use it to find all bills on a topic or cross-reference lobbying data.

Instructions

Get legislative subjects tagged on a bill, plus the primary policy area. Useful for finding all bills on a topic and for cross-referencing with lobbying data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default: 100)
congressYesCongress number
bill_typeYesBill type
bill_numberYesBill number

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2026.9.14
    • addedInput schema / properties / limit / default
      Added value: +100
  2. Changed1 schema field changedv2026.4.11
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observedv2026.3.9

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description correctly aligns by using 'Get'. The description adds that the response includes subjects plus the primary policy area, which is behavioral detail beyond the annotations. It does not discuss pagination or response format, but annotations cover the safety profile.

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 short sentences with no filler. The core function is stated first, followed by meaningful use cases, making it easy to scan.

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?

For a simple read-only bill lookup, the description provides enough information about what is returned (subjects and primary policy area) and when to use it. It could detail the exact response structure, but the annotations and schema cover the remaining operational details.

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?

Schema description coverage is 100% — every parameter (limit, congress, bill_type, bill_number) has a description, so the schema carries the parameter meaning. The description adds no additional parameter semantics, so the baseline of 3 is appropriate.

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 names a specific verb ('Get'), a specific resource ('legislative subjects tagged on a bill'), and adds the additional output ('primary policy area'). It also states use cases that help differentiate it from related Congress bill tools like congress_bill_summaries or congress_bill_details.

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 says the tool is useful for finding all bills on a topic and for cross-referencing with lobbying data, which gives clear usage context. It does not name alternative tools or exclusions, but the context is sufficient for an agent to decide when to use it.

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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