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muslus

Q1 Crafter MCP

by muslus

generate_comparison_table

Create a comparison table of selected papers across specified dimensions like method, sample size, and findings. Outputs a PNG image.

Instructions

Create a comparison table of selected papers across specified dimensions (e.g., method, sample size, findings). Outputs a PNG image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idsYesPapers to include in the table
columnsNoColumns to compare (e.g., 'Method', 'Dataset', 'Results')
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It mentions output is a PNG, but does not address error handling for invalid paper_ids, missing columns, table size limits, or any side effects. Minimal 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?

Two sentences efficiently convey purpose and output format. No unnecessary words; every sentence adds value.

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?

For a simple tool with 2 parameters and no output schema, description adequately states output format (PNG) and core function. Could be more complete with constraints (e.g., max papers), but current level is sufficient for basic understanding.

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?

Schema coverage is 100%, so baseline is 3. Description adds example values for 'columns' parameter (e.g., 'method, sample size, findings'), which provides additional context beyond the schema's examples. However, this is marginal improvement.

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?

Description clearly states verb 'create', resource 'comparison table of selected papers', and output format 'PNG image'. Distinguishes from sibling 'generate_trend_chart' which produces a chart, and 'build_docx' for documents.

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 explicit guidance on when to use this tool vs alternatives like 'analyze_literature' or 'generate_trend_chart'. The description gives an example of dimensions but does not provide context for selection among siblings.

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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