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ai.extract

Retrieve and extract structured data from any URL using a custom JSON Schema. Specify the exact shape of the output you need.

Instructions

Fetch a URL and extract typed data from its content per a user-supplied JSON Schema. Use when you need a structured payload conforming to your own shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
schemaYesJSON Schema describing the desired output.
instructionNoOptional extraction guidance.
Behavior2/5

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

No annotations are provided, so the description fully bears the burden of behavioral disclosure. It mentions fetching a URL and extraction but does not disclose potential side effects, authorization needs, rate limits, or error handling, which are critical for a tool making network requests.

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?

The description is two sentences long, front-loads the action first ('Fetch a URL and extract typed data'), and contains no extraneous information. Every sentence serves a purpose.

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?

Given the tool's complexity (3 parameters, no output schema, network request), the description is too brief. It omits important context such as return format, error behavior, content type support, and any limitations, making it incomplete for an agent to use safely and effectively.

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?

The input schema covers 2 of 3 parameters with descriptions, and the tool description adds context that the schema is user-supplied and describes desired output. However, this adds minimal value beyond the schema itself, and the 'url' parameter lacks any description in both the schema and the tool description.

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 fetches a URL and extracts typed data based on a user-supplied JSON Schema. It distinguishes itself from sibling tools by specifying a unique action of structured data extraction.

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 says 'Use when you need a structured payload conforming to your own shape,' providing clear usage context. It does not mention alternatives or when not to use, but the guidance is sufficient for basic decision-making.

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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