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generate_comparison_table

Create a comparison table of research papers across specified dimensions like method, sample size, or findings, and output as 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
columnsNoColumns to compare (e.g., 'Method', 'Dataset', 'Results')
paper_idsYesPapers to include in the table
Behavior2/5

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

With no annotations provided, the description carries full burden. It only mentions output format (PNG) but lacks details on limits, side effects, or required permissions. Minimal behavioral disclosure beyond the name.

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 with no filler. Every word adds value, front-loading the purpose and output format.

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 2-parameter tool with no output schema, the description is fairly complete. It specifies the output type (PNG), but could mention limitations like max papers or column count. Still, it covers the essential use case.

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

Parameters4/5

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

Description adds example dimensions (e.g., method, sample size, findings) that enhance the 'columns' parameter beyond the schema's simple description. With 100% schema coverage, baseline is 3, but the example raises it to 4.

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 the tool creates a comparison table and outputs a PNG image. The verb 'create' and resource 'comparison table' are specific, and the output format distinguishes it from siblings like generate_trend_chart or analyze_literature.

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 versus alternatives like generate_trend_chart or analyze_literature. Does not mention prerequisites or when not to use it.

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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