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web_scholar

Google Scholar search (papers with citation counts) for AI agents at $0.020 per call, from the same Serper.dev source as /web/search. Send a query, get back compact JSON: top papers with position, title, url, publication info, snippet, year and citation count. Tune with num (1-10 results), country and language (2-letter codes). Zero results is a valid, honest answer. Pay per call in USDC on Base, no account, no API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numNoNumber of results to return (1-10, default 5)
langNoOptional 2-letter language code for the results, e.g. 'en', 'nl'
queryYesThe search query, plain text, max 400 characters
countryNoOptional 2-letter country code to localise results, e.g. 'us', 'nl'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries full responsibility. It transparently discloses payment requirements (USDC on Base, no account, no API key) and sets expectations that zero results is a valid response. It does not mention side effects, but as a read-only search tool, this is not a concern.

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?

The description is concise, containing four sentences that cover purpose, pricing, result format, and parameter tuning. Each sentence contributes value, and there is no unnecessary verbosity beyond the minor redundancy of 'Zero results is a valid, honest answer' which still adds behavioral transparency.

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 search tool with no output schema, the description is complete: it specifies what it does, how to invoke it, what to expect, and the pricing model. It does not document output structure but that is not required given the absence of an output schema and the tool's simplicity.

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 coverage is 100% with clear per-parameter descriptions. The description adds marginal value by repeating parameter behavior ('Tune with num, country and language') but does not introduce new meaning beyond the schema. Baseline 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?

Clearly states it is a Google Scholar search tool returning papers with citation counts, and explicitly distinguishes it from the sibling /web/search tool by mentioning the same Serper.dev source. The specific verb 'search' and resource 'Google Scholar papers' leave no ambiguity.

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?

Implies usage for scholarly queries by naming 'Google Scholar' and contrasts with /web/search, but does not explicitly state when to prefer this tool over alternatives. It does mention how to tune parameters (num, country, language) and the response format, providing practical 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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