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spraay_search_extract

Read-only

Extract clean, structured content from URLs for use in RAG pipelines. Returns full text of up to 5 pages, ready for LLM processing.

Instructions

Extract clean, structured content from specific URLs — perfect for RAG pipelines. Returns the full text content of each page, ready for LLM consumption. Up to 5 URLs per request. Costs $0.015 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesArray of 1-5 URLs to extract content from (e.g. ['https://docs.base.org/overview'])

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the gateway call succeeded; false when it returned an error.
dataNoThe gateway response payload on success. The exact shape depends on the tool (see the tool description and the JSON in the text content block).
errorNoHuman-readable error message, present only when ok is false.
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds behavioral details: returns full text content, cost, and URL limit, which augment the annotations without contradiction.

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?

Three concise sentences that front-load the purpose and immediately convey the value proposition. Every sentence adds necessary information without redundancy.

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

Completeness5/5

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

Given the tool's simplicity, the description covers all essential aspects: what it does, output format, limits, and cost. The presence of an output schema means return values need not be detailed here.

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 schema covers the single parameter completely (100% coverage). The description restates the URL limit but adds no new semantic information beyond what the schema already provides.

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 clean, structured content from specific URLs, distinguishing it from search tools among siblings. It specifies the output is full text for LLM consumption, leaving no ambiguity.

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 mentions the tool is for RAG pipelines and limits to 5 URLs per request with a cost, but does not explicitly state when not to use it or provide alternatives. However, the context of siblings makes the intended use clear.

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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