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verify_citation

Check an academic citation for accuracy by comparing its title, authors, year, and venue against Semantic Scholar, OpenAlex, and CrossRef. Returns whether the paper exists and flags any mismatches.

Instructions

Verify that an academic citation is accurate by checking it against Semantic Scholar, OpenAlex, and CrossRef. Returns whether the paper exists and flags mismatches in title, authors, year, or venue.

Args: title: Title of the cited paper (required). authors: List of author names. year: Publication year. doi: DOI of the paper (e.g. 10.1145/12345). arxiv_id: arXiv ID (e.g. 2301.00001). url: Direct URL to the paper.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
authorsNo
yearNo
doiNo
arxiv_idNo
urlNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description explains what the tool checks (title, authors, year, venue) and the sources used, adding behavioral context beyond the schema. However, with no annotations provided, this dimension carries full weight; the description does not cover all potential behaviors such as rate limits, authentication requirements, or error handling, but given the straightforward nature of a citation verification tool, the disclosure is adequate.

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?

The description is concise and well-structured, with a clear first paragraph stating the tool's purpose followed by a bulleted list of parameters. Every sentence adds value without redundancy.

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 the tool's moderate complexity (6 parameters, 1 required, output schema present), the description covers the essential information. It explains the verification process and parameter meanings, but lacks details on output structure. However, since an output schema exists, this omission is acceptable. The description is sufficiently complete for effective usage.

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?

The description provides brief semantic information for each parameter, defining what they represent (e.g., 'DOI of the paper', 'arXiv ID'). However, the input schema's title fields already convey most of this information (e.g., 'Doi', 'Arxiv Id'), and the description does not add significant new meaning. Schema description coverage is 0%, so the description compensates minimally.

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's purpose: verifying academic citations by checking against three specific databases (Semantic Scholar, OpenAlex, CrossRef). It precisely describes the verification outputs: existence check and mismatch flags for title, authors, year, or venue. This is specific and informative.

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 explicitly lists parameters with their types and example formats, providing guidance on how to use the tool. However, it does not indicate when not to use this tool or mention alternatives, which would be beneficial since there are no sibling tools. The clarity of the parameter descriptions partly compensates.

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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