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Extract Page Text ($0.01)

extract_text

Extract clean main text from web pages by removing navigation and ads, enabling research and summarizing agents to obtain focused content. Each extraction costs $0.01 USDC on Base.

Instructions

Extract clean main text content from any web page (no nav/ads) — for research & summarizing agents. Costs $0.01 USDC on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPage URL
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It discloses cost and that the extracted text is clean of nav/ads, but does not mention rate limits, authentication needs, error handling, or handling of JavaScript-rendered pages.

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, front-loaded with the core purpose and use case, and each sentence adds distinct value without redundancy.

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?

Given the tool has only one parameter and no output schema, the description lacks information on return format, error handling, or constraints (e.g., URL length). It covers the essential purpose but omits operational details.

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 has 100% coverage for the single 'url' parameter, describing it as 'Page URL'. The description adds no further semantic information beyond that.

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 verb 'Extract' and the resource 'clean main text content from any web page', and distinguishes from siblings like 'page_metadata' and 'extract_contacts' by specifying the focus on main text for research and summarizing agents.

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

Usage Guidelines3/5

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

The description mentions the tool is 'for research & summarizing agents' but does not provide explicit guidance on when not to use it or how it compares to siblings like 'extract_contacts' or 'page_metadata'.

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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