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Search Papers

search_papers
Read-onlyIdempotent

Search open-access research papers by keyword (e.g., "machine learning healthcare"). Returns titles, authors, abstracts, DOIs, and download links. Useful for literature reviews and finding academic sources.

Input Schema

NameRequiredDescriptionDefault
limitNoMax results to return (1-100, default 10)
queryYesSearch query (e.g., "climate change mitigation", "CRISPR gene editing")
_apiKeyYesCORE API key

Output Schema

NameRequiredDescriptionDefault
resultsYesArray of matching papers
total_hitsYesTotal number of matching papers in CORE

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety and side-effect profile. The description adds useful behavioral context: it returns titles, authors, abstracts, DOIs, and download links, and asserts it searches exclusively open-access papers. No contradiction with annotations.

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 sentences with no filler. The main verb and resource appear immediately, followed by an example and expected return fields. Efficient and front-loaded.

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 search tool with an output schema, full parameter docs, and annotations covering read-only/idempotent safety, the description is adequate. It covers what it searches, what it returns, and typical use cases. A pointer to get_paper for specific-paper retrieval would improve completeness, but that gap is already reflected in usage_guidelines.

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%; the schema already documents query, limit, and _apiKey with examples. The description reinforces the query semantics with an example but does not add additional parameter-level information beyond the schema. Baseline 3 applies due to high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb, resource, and scope: 'Search open-access research papers by keyword.' Also lists return fields (titles, authors, abstracts, DOIs, download links) and gives an example query. It does not explicitly differentiate from sibling tools like get_paper or search_within, but the action is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides the context 'Useful for literature reviews and finding academic sources' but does not state when NOT to use it or name alternatives like get_paper for retrieving a specific paper. Usage guidance is implicit rather than explicit.

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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