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extract_keywords

Extract key terms and concepts from academic paper abstracts using TF-IDF and co-occurrence analysis to identify core themes.

Instructions

Extract key terms and concepts from paper abstracts using TF-IDF and co-occurrence analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idsYesList of paper IDs to extract keywords from
max_keywordsNo
Behavior2/5

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

No annotations provided, so description carries full burden. It mentions the method (TF-IDF, co-occurrence) but does not disclose side effects, authentication needs, rate limits, or behavior on invalid inputs.

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?

Single sentence, front-loaded with the main action, no wasted words. The purpose is immediately clear.

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?

Missing output schema and no description of return format. Does not specify expected input format for paper_ids or number of keywords. Incomplete for a tool with moderate complexity and no structured output info.

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 50% (paper_ids described, max_keywords not). The description adds no additional meaning beyond the schema, e.g., it doesn't clarify the range or format of max_keywords.

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 action (Extract), resource (key terms/concepts from paper abstracts), and method (TF-IDF and co-occurrence analysis). It distinguishes from siblings like search_academic or generate_trend_chart.

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

Usage Guidelines3/5

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. Usage is implied by the description but lacks when-not-to-use or sibling comparisons.

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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