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get_case_law_synthesis

Read-only

Federal case law synthesis across US courts via CourtListener. Returns top cases by relevance for a legal topic with citation counts, court, and precedential status. Use for legal research agents, litigation intelligence, and compliance gap analysis. Source: CourtListener 60M+ opinions. $0.50. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.50 USDC per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
courtNo
limitNo
topicYes
date_afterNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds value beyond those by disclosing the data source (CourtListener 60M+ opinions), the cost ($0.50 USDC per call), and the cryptographic settlement receipt verification workflow. Minor redundancy in pricing disclosure slightly weakens it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded and readable, but the price is stated twice ('$0.50' and '$0.50 USDC per call') and the attestation/verification details add length without helping tool selection or invocation. A tighter single pricing mention would improve it.

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?

For a tool with no output schema and 0% parameter schema coverage, the description explains return fields well but leaves two of four parameters (limit, date_after) entirely unexplained. It also omits the output format. Given the low structured coverage, the description is not complete enough for an agent to invoke it optimally.

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 the description carries the full burden for parameter meaning. It only implicitly covers 'topic' via 'legal topic' and mentions 'court' as an output field, but does nothing to explain 'limit' or 'date_after' semantics, formats, or constraints. This is a significant gap for a 4-parameter tool.

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 states a specific verb and resource: it returns top cases by relevance for a legal topic with citation counts, court, and precedential status, sourced from CourtListener. This clearly distinguishes it from sibling tools like get_federal_case_law, get_federal_court_cases, and get_citation_authority by emphasizing the synthesis aspect.

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 explicitly names use cases: legal research agents, litigation intelligence, and compliance gap analysis. However, it does not provide exclusions or name alternative tools for adjacent tasks, so it stops short of full when/when-not guidance.

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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