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AntonIXO

vibescience-mcp

by AntonIXO

link_paper

Idempotent

Connect a scientific paper to a specific problem or hypothesis by adding a citation edge, building a traceable causal map.

Instructions

Link a paper to a problem or hypothesis (adds a cites edge).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idYes
entity_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare idempotentHint=true and destructiveHint=false, so the description adds minimal behavioral context beyond mentioning it adds a 'cites edge'. This is consistent but not enriched.

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, efficient sentence that conveys the entire purpose without unnecessary words.

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

Completeness3/5

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

The tool is simple with two parameters and an output schema, but the description does not clarify what 'entity_id' refers to (problem or hypothesis). It is adequate but could be slightly more explicit.

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 coverage is 0%, and the description does not explain the parameters. 'paper_id' and 'entity_id' are self-explanatory from names, but the description adds no further semantic value or constraints.

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 verb 'link' and the objects 'paper to a problem or hypothesis', with the specific action 'adds a cites edge'. This uniquely identifies the tool's purpose and distinguishes it from sibling tools like add_paper or create_problem.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or when not to use it, leaving the agent without clear decision criteria.

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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