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extract_web_data

Scrape a public URL into the exact structured JSON you ask for (prices, contacts, listings, specs). Paid: $0.05 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
instructionYes

TDQS

B3.3/5.0
Behavior3/5

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

No annotations provided, so description must cover behavior. It discloses the paid nature and cost, but does not mention rate limits, authentication needs, response format guarantees, or error handling. The description adds some value beyond no information.

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 short, front-loaded sentences. First sentence states purpose clearly, second adds critical cost information. No wasted words. Well-structured for quick comprehension.

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?

Basic purpose and cost are covered, but given no output schema and minimal parameter info, the description should provide more guidance on how to structure the 'instruction' parameter, expected output format, and potential errors. Adequate for a simple tool but not complete.

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%, so description must explain parameters. It implies 'url' is the target and 'instruction' specifies what to extract (e.g., prices, contacts). However, it does not explicitly describe the required format for 'instruction' or any constraints on 'url'. Marginal added value.

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?

Clearly states the verb 'scrape', resource 'public URL', and output 'structured JSON'. Examples of use cases (prices, contacts, listings) help clarify. However, it doesn't explicitly distinguish from sibling 'read_web_page', which could cause confusion.

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?

Mentions paid cost ($0.05 USDC) which implies a condition for use, but no explicit when-to-use or when-not-to-use. No alternatives or prohibitions are given. The cost is a notable factor but guidance is minimal.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct action: checking AI visibility, extracting structured data, listing agents, making videos, reading web pages, and verifying outputs. No overlapping purposes.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., check_ai_visibility, extract_web_data, list_vevang_agents), which is predictable and clear.

Tool Count5/5

6 tools is a well-scoped set for a general-purpose agent toolkit, covering a range of useful actions without being overwhelming or too sparse.

Completeness4/5

The tool surface covers core operations like checking, extracting, creating, reading, and verifying, but could benefit from a search or management tool for agents, though it is largely complete for its stated purpose.

Resources