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supuni9622

Research Intelligence MCP

by supuni9622

get_paper_citations

Retrieve citing papers for a specified academic paper, including citation contexts, intent labels, and influential-citation status.

Instructions

Retrieve papers that cite a specified academic paper.

This tool traverses the citation graph from an origin paper to papers that cite it. Each returned relationship may include:

  • canonical citing-paper metadata;

  • citation contexts;

  • citation intent labels;

  • influential-citation status.

Semantic Scholar supports citation graph retrieval. arXiv does not expose a citation graph API and will return a normalized unsupported-operation error.

This tool retrieves structured graph metadata only. It does not synthesize or summarize the citing papers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
paper_idYes
providerYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYesMaximum number of relationships requested.
offsetYesOffset used for the provider request.
paper_idYesIdentifier of the origin paper.
providerYesProvider used for the graph request.
returnedYesNumber of relationships returned.
referencesNoCanonical citation or reference relationships.
Behavior4/5

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

With no annotations, description fully explains behavior: traverses citation graph, returns specific metadata, provider-specific errors, and excludes synthesis. Missing rate limits or auth but sufficient for a read-like tool.

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?

Well-structured with bullet points and provider note, but slightly verbose. Every sentence adds value, could be tightened.

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 output schema exists, description covers return types, provider differences, and limitations. Adequate for agent to use correctly, though handling arXiv error could be clearer.

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?

Despite 0% schema coverage, description clarifies paper_id and provider semantics. However, limit/offset parameters are not explained, leaving gaps.

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?

The description clearly states the tool retrieves papers citing a specified paper, with specific verb and resource. It distinguishes from siblings like get_paper_references (references out) and get_related_papers.

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 context on provider differences (Semantic Scholar vs. arXiv) and what the tool does not do (no synthesis). Lacks explicit when-not-to-use or alternatives beyond implied differentiation.

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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