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Compare papers

compare_papers

Compare two papers by verified local metadata to determine benchmark comparability. When evidence is missing, the comparison explicitly states that no support exists, preserving transparency.

Instructions

Compare verified local paper metadata; benchmark comparability stays explicit when evidence is absent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
left_paper_idYes
right_paper_idYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description bears the full burden. It does disclose a meaningful behavioral guarantee: benchmark comparability is kept explicit when evidence is missing, suggesting the tool avoids silent inference. However, it does not describe side effects, return behavior, or how missing metadata is surfaced beyond that one clause.

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?

The description is short and front-loaded with the core action and resource. The second sentence is somewhat jargon-cryptic but adds a behavioral nuance without added length.

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?

For a tool with no annotations, no output schema, and 0% schema coverage, the description leaves important context missing: what a comparison result looks like, when to choose this over the other compare tools, and how to interpret the benchmark-comparability behavior. The agent can identify the basic operation but not fully route or use it confidently.

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?

Schema description coverage is 0%, so the description needed to compensate. It adds the idea of 'paper metadata' but says nothing about the left/right identification semantics, ID format, or relationship between the two parameters beyond their self-explanatory names.

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 states a concrete action ('Compare') on a specific resource ('verified local paper metadata'), which distinguishes it from sibling comparison tools aimed at methods or code. The second clause about benchmark comparability is obscure but does not obscure the core purpose.

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?

There is no explicit guidance on when to use this tool versus siblings such as compare_methods or compare_paper_to_code. The qualifiers 'verified local' imply a scope restriction, but no exclusions or selection criteria are stated.

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/arrogance231/openpapers'

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