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MohamedElashri

InspireHEP MCP Server

search_by_collaboration

Search publications from high-energy physics collaborations like ATLAS, CMS, LHCb. Filter by year, sort by recency or citations, and get citation statistics.

Instructions

Find publications from a specific experimental collaboration.

Handles common name variations (e.g. "lhcb" → "LHCb").

Args: collaboration_name: Collaboration name (e.g. "ATLAS", "CMS", "LHCb", "Belle-II"). sort: Sort order — "mostrecent" or "mostcited". size: Number of results to return (1–100, default 20). year: Optional year filter (e.g. 2024).

Returns publication list, year distribution, total citations, and top-cited papers from the returned set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collaboration_nameYes
sortNomostrecent
sizeNo
yearNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries burden. It describes input parameters and return fields (publication list, year distribution, total citations, top-cited papers). Does not disclose error handling or rate limits, but adequate for a 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?

Well-structured, concise: first sentence states purpose, then parameter details. No fluff.

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?

Given 4 parameters, no annotations, and existence of output schema, description covers inputs and output summary completely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but description adds value explaining each parameter: collaboration_name (type), sort (values), size (range and default), year (optional). Exceeds schema detail.

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 it finds publications from a specific experimental collaboration, with examples of name variations. This distinguishes it from siblings like search_papers.

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?

Implies usage when collaboration name is known, but no explicit guidance on when not to use or alternatives like search_papers.

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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