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Extract paper claims

extract_paper_claims

Extract claims from a scholarly paper via URL, persist them for provenance, and identify explicit conflicts with previously stored claims.

Instructions

Persist heuristic paper claims and report explicit conflicts with prior claims.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does disclose that the tool persists data and reports conflicts, but it does not explain what persistence means, whether existing claims are overwritten or duplicated, what side effects occur, or what the response looks like. This is a mutation-like operation with insufficient behavioral context.

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 a single sentence with no filler or repetition. Every phrase adds meaning: 'persist', 'heuristic paper claims', and 'report explicit conflicts with prior claims' all contribute. It is front-loaded with the core action.

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

Completeness2/5

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

Although the tool is simple (one parameter, no output schema), the description does not complete the picture for an agent. It omits what 'claims' means here, how a paper is obtained from the url, what 'explicit conflicts' look like, and what output or confirmation is returned. The lack of annotations and output schema makes these gaps more significant.

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

Parameters2/5

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

The schema has one parameter, url, with 0% description coverage, and the tool description never mentions the url parameter. The schema's name, format, and maxLength provide some clarity, but the description does not explain how the url relates to extracting or persisting claims, leaving the parameter semantics incomplete.

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 identifies a specific action ('Persist heuristic paper claims') and a clear resource ('paper claims'), and it differentiates from related siblings like extract_paper_facts by focusing on claims and reporting conflicts. The verb 'persist' slightly mismatches the tool name's 'extract', but the overall purpose is still decipherable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance about when to use this tool versus alternatives such as extract_paper_facts, verify_claim, or compare_papers. There is no explicit when-to-use, when-not-to-use, or alternative routing, so an agent must infer usage from the tool name and sibling list.

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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