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Google Scholar Remote MCP Server

google_scholar_case_law: GET /

hasdata_google_scholar_case_law_getScholarCaseLawOpinion
Read-only

Get Scholar Case Law Opinion

Looks up a Google Scholar Case Law opinion by its caseId (as returned in a google/scholar organic result's caseId, when searching with asSdt set to a case-law court scope, or in another case-law result's citedCases). Returns the case title, party names, court, procedural history, argued/decided dates, short citations, docket numbers, and every case cited within the opinion (grouped by cited case with a ready-to-call hasdataLink). Use to build legal-research and case-law-analysis workflows, or to walk a citation graph one cited case at a time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hlNoThe two-letter language code for the language you want to use for the search. Provide one exact documented value (159 allowed), e.g. `af`, `ak`.
caseIdYesThe `caseId` of a Google Scholar case-law result, as returned by the google/scholar endpoint.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare the safe read-only, open-world profile; the description adds substantial value by enumerating what is returned (title, parties, court, dates, docket numbers, cited cases grouped with a ready-to-call hasdataLink), which is meaningful behavioral context absent from the annotations.

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-loads purpose in the first line, then supplies sourcing detail and use cases. It is slightly dense but every sentence carries information; nothing is redundant.

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

Completeness5/5

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

With no output schema, the description compensates fully by describing the return payload, the single required parameter's origin, and the intended workflow, so an agent has everything needed to call and interpret the tool.

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 the baseline is 3, but the description adds meaning beyond the schema by detailing where caseId comes from (asSdt court-scope searches and citedCases in other case-law results), which is more actionable than the schema's brief note.

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?

States a specific verb and resource ('Looks up a Google Scholar Case Law opinion by its caseId'), and ties the resource to the broader google/scholar organic-result and citedCases context so it is distinguishable from the search and citation sibling tools.

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 clear context for use ('build legal-research and case-law-analysis workflows, or walk a citation graph one cited case at a time') and explains where the required caseId originates, but does not explicitly name alternative siblings such as getScholarSearchResults or getScholarCitationFormats or state when-not 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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