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pubmed_extract_key_info

Extract key sections from PubMed articles by PMID, including authors, abstract summary, methods, results, and more, to provide structured data for optimized LLM comprehension and processing.

Instructions

提取文献关键信息,优化LLM理解和处理

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pmidYesPubMed文献ID
extract_sectionsNo要提取的信息部分
max_abstract_lengthNo摘要最大长度(字符)
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the general function without specifying output format, error handling, side effects, or any constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is an efficiently short single sentence, but it is under-specified. It front-loads the core purpose but omits necessary details, making it more under-specified than appropriately concise.

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?

With 3 parameters, no output schema, no annotations, and 12 siblings, the description is insufficiently complete. It lacks usage context, output details, and differentiation from other tools, leaving significant gaps for the agent.

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 description coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning beyond what the schema already documents.

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 clearly states the tool extracts key information from literature, with a specific verb and resource. However, it does not differentiate this tool from siblings like pubmed_get_details or pubmed_cross_reference, so it falls short of a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives. There are no exclusions or explicit context, leaving the agent without direction on tool selection.

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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