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extract_facts

Extract structured facts from text as atomic (subject, predicate, object) triples with confidence scores. Preview what facts are contained without storing them.

Instructions

Extract structured facts from text without storing them. Returns atomic (subject, predicate, object) triples with confidence scores. USE THIS WHEN: you need to understand what facts are contained in a piece of text, or to preview what facts would be extracted before remembering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description adequately discloses that the tool does not store facts and returns triples with confidence scores. It could be more specific about idempotency or rate limits, but for a read-only extraction tool this is sufficient.

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 plus a usage note, front-loaded with the key action and 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?

Given the existence of an output schema (not shown but present), the description covers the essential context: purpose, behavior, and usage. It could mention that the tool is safe to call multiple times, but overall it is complete for a simple extraction tool.

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 elaborate on the single 'text' parameter beyond what the schema shows. No details on expected format, length limits, or examples are provided, which would help an agent.

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 tool extracts structured facts from text without storing them. It specifies the output format (subject, predicate, object triples with confidence scores) and distinguishes it from related tools like 'remember'.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly provides usage guidance with 'USE THIS WHEN' for understanding facts in text or previewing before remembering. It does not mention when not to use or alternatives, but the guidance is clear and actionable.

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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