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check_citations

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Compares citations to the reference list, flagging missing sources, malformed DOIs, impossible years, and duplicates. Runs offline for English/Spanish and numbered/author-year styles.

Instructions

Compares a document against its own reference list and reports where the two disagree: a source cited in the text that appears nowhere in the bibliography, a number cited beyond the end of a numbered list, one DOI on two different works, a malformed DOI, a publication year that has not happened yet, a duplicated entry. Works for English and Spanish, numbered (IEEE/Vancouver) and author-year (APA/MLA) styles, and returns the line of every problem. Runs FULLY OFFLINE and looks nothing up: it cannot tell you whether a well-formed reference is a real paper, only whether the document contradicts itself. That is often enough, because an invented bibliography tends to fail against itself first. Nothing is sent anywhere. A missing reference is usually a slip rather than dishonesty, and it is always the writer's to explain — the correct response to a finding is to ask them for the source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe document, including its reference list.
languageNoLanguage for the wording of the messages: "en" or "es". Default "en".en
currentYearNoWhat counts as the future, for the impossible-year check. Omit to use the current year.
Behavior5/5

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

The annotation readOnlyHint=true is already present, and the description adds substantial beyond-annotation context: it runs fully offline, sends nothing, cannot determine real vs. fake references, and notes that a missing reference is usually a slip rather than dishonesty. This paints a complete behavioral picture and explains the tool's intent and limitations.

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 longer than average but every sentence earns its place: it front-loads the core function, then lists specific check types, supported styles, offline behavior, limitations, and even advice on handling findings. No fluff or repetition, just dense, useful information.

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 complexity and the absence of an output schema, the description does well by stating that it returns 'the line of every problem' and explaining the conceptual approach (self-contradiction detection). It lacks an exact return structure, but that is not fully required, and the description covers language, year handling, and offline behavior sufficiently for an agent to gauge whether this tool fits.

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 input schema already provides 100% coverage for all three parameters, including defaults and descriptions for each. The tool description does not add any new parameter-level semantics, so it rests at the baseline of 3; it neither clarifies nor conflicts with the 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?

The description begins with a specific verb and resource: 'Compares a document against its own reference list and reports where the two disagree.' It enumerates concrete checks (malformed DOI, impossible year, duplicates) and explicitly distinguishes itself from sibling tools like check_originality or check_paraphrase by focusing on internal consistency rather than external similarity.

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 clearly states supported languages and citation styles, and explicitly identifies a key limitation: it cannot verify whether references are real papers, only whether the document contradicts itself. It does not name specific alternative tools, but the 'nothing is sent anywhere' and offline nature help the agent decide when this (vs. a look-up tool) is appropriate.

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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