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acchuang

Jina AI Remote MCP Server

by acchuang

parallel_search_arxiv

Execute multiple arXiv academic searches simultaneously to gather comprehensive research papers from different angles and methodologies for thorough investigation.

Instructions

Run multiple arXiv searches in parallel for comprehensive research coverage and diverse academic angles. For best results, provide multiple search queries that explore different research angles and methodologies. You can use expand_query to help generate diverse queries, or create them yourself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchesYesArray of arXiv search configurations to execute in parallel (maximum 5 searches for optimal performance)
timeoutNoTimeout in milliseconds for all searches

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'parallel' execution and 'optimal performance' with max 5 searches, which adds useful context beyond the schema. However, it doesn't describe important behavioral aspects like error handling, rate limits, authentication needs, or what the output format looks like (especially critical since there's no output schema).

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 appropriately sized with three sentences. The first sentence states the core purpose, the second provides usage guidance, and the third offers implementation suggestions. There's no wasted text, though the structure could be slightly more front-loaded with the most critical information.

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

Completeness3/5

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

For a tool with 2 parameters, 100% schema coverage, but no annotations and no output schema, the description is adequate but has gaps. It covers the parallel execution concept and query diversity guidance, but doesn't address what the tool returns (critical without an output schema) or important behavioral constraints. The description compensates somewhat but not fully for the missing structured data.

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%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema - it mentions 'multiple search queries' which aligns with the 'searches' array parameter, but doesn't provide additional semantic context about parameter usage or interactions that isn't already in the schema descriptions.

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?

The description clearly states the tool's purpose: 'Run multiple arXiv searches in parallel for comprehensive research coverage and diverse academic angles.' It specifies the verb ('run'), resource ('arXiv searches'), and scope ('in parallel'), but doesn't explicitly differentiate from its sibling 'search_arxiv' beyond the parallel execution 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 provides clear context about when to use this tool: 'For best results, provide multiple search queries that explore different research angles and methodologies.' It also mentions an alternative tool ('expand_query') for query generation, though it doesn't explicitly contrast when to use this versus the regular 'search_arxiv' sibling tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.