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Nehra-Amaterasu

paper-search-mcp

search_arxiv

Search academic papers from arXiv. Filter by query, result count, and sorting options.

Instructions

Search academic papers from arXiv.

Args: query: Search query string (e.g., 'machine learning'). max_results: Maximum number of papers to return (default: 10). sort_by: Sort criterion — 'relevance', 'submittedDate', or 'lastUpdatedDate' (default: 'relevance'). sort_order: Sort direction — 'descending' or 'ascending' (default: 'descending'). Returns: List of paper metadata in dictionary format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
sort_byNorelevance
sort_orderNodescending
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. Discloses return format (list of dicts) and parameter behavior. Lacks details on rate limits, auth, or idempotency, but is adequate for a read-only search tool.

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?

Docstring format with Args and Returns sections is clear, well-organized, and efficiently communicates necessary information without extraneous text.

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 4 parameters and existing output schema, description covers return type and parameter semantics adequately. Could mention pagination or error handling, but not required for basic usage.

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 0%, but description explains each parameter including defaults and allowed values for sort_by and sort_order. This significantly adds meaning beyond the bare schema.

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?

Description clearly states 'Search academic papers from arXiv' with a specific verb and resource. It distinguishes from sibling tools which cover different databases (e.g., search_pubmed, search_crossref) by naming arXiv explicitly.

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?

Provides clear usage context with parameter explanations and defaults. However, does not explicitly state when to use this tool over siblings like download_arxiv or read_arxiv; the context is implied through the action name.

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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