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extract_scraped_info

Retrieve scraped website information by provider name, URL, or domain for comparing LLM inference pricing.

Instructions

Extract information about a scraped website.

Args: identifier: The provider name, full URL, or domain to look for

Returns: Formatted JSON string with the scraped information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It only states purpose and return format, not whether it's read-only, what happens if identifier is missing, or any side effects.

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

Conciseness4/5

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

The description is short and front-loaded with the tool's purpose. Every sentence is concise, though the Args/Returns formatting is conventional.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter retrieval tool with an output schema, the description covers the input sufficiently but lacks behavioral context (e.g., error handling, idempotency). Adequate but not comprehensive.

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?

The input schema has 0% description coverage, but the description adds meaningful context: 'The provider name, full URL, or domain to look for', which clarifies the parameter beyond its name.

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?

It clearly states 'extract information about a scraped website', with a specific verb and resource. The sibling 'scrape_websites' implies this is for already-scraped data, but the relationship isn't explicitly stated.

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 guidance on when to use this tool versus 'scrape_websites' or alternatives. It does not mention prerequisites, such as needing a prior scrape.

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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