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sh-patterson

LegiScan MCP Server

legiscan_get_bill

Retrieve comprehensive bill details including sponsors, voting history, text, amendments, and supplements for thorough legislative research.

Instructions

Get detailed bill information including sponsors, full history, votes, texts, amendments, and supplements. This is the primary tool for bill research.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bill_idYesBill ID from search results or find_bill_by_number
Behavior3/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It describes the information returned (sponsors, history, votes, etc.), which implies a read-only operation, but it does not explicitly state idempotency, potential side effects, authentication requirements, or rate limits. The description is adequate but not fully transparent.

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 extremely concise, consisting of just two sentences. The first sentence lists the key components of the bill information, and the second sentence asserts its role as the primary research tool. Every word is purposeful, and there is no fluff or redundancy.

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 simplicity of the tool (one required parameter, no output schema, no annotations), the description sufficiently covers what the tool does and what it returns. It could mention limitations like jurisdiction scope or required API key, but for a basic retrieval tool, the description provides adequate context for an AI agent to understand its purpose.

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?

The input schema has one parameter (bill_id) with 100% description coverage. The schema's description already explains its source ('from search results or find_bill_by_number'). The tool's description adds no additional parameter information beyond the schema, so it provides no extra value for parameter semantics.

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 specifies the verb 'Get' and the resource 'detailed bill information', listing key components like sponsors, history, votes, etc. It also explicitly identifies itself as 'the primary tool for bill research', distinguishing it from sibling tools like legiscan_search or legiscan_find_bill_by_number.

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 indicates this is the primary tool for bill research, implying its use for comprehensive data. However, it does not explicitly state when to avoid it or specify alternatives for simpler needs (e.g., legiscan_find_bill_by_number for just an ID). The guidance is clear but lacks exclusion criteria.

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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