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smartscrape_ai

SmartScrape AI Universal Field Extractor: Trigger: Call this tool when an agent needs custom JSON extraction from an arbitrary webpage using AI schema parsing. Input: 'url' (target URL), 'schema' (JSON schema defining desired fields). Output: strictly typed JSON matching requested schema. (x402 M2M Cost: 0.01 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoInput parameter for url (e.g. "https://news.ycombinator.com")
schemaNoInput parameter for schema (e.g. {"titles":["string"]})

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations, so the description carries full behavioral burden. It usefully adds the x402 M2M cost (0.01 USDC on Base) and the return shape ('strictly typed JSON matching requested schema'), but says nothing about failure behavior, timeouts, JS-rendered pages, or rate limits. Given zero annotation coverage, this is a partial disclosure.

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?

Front-loaded with the tool name and a Trigger/Input/Output structure that is easy to scan; the only waste is repeating the tool name as a title-like prefix. Otherwise tight and well organized.

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?

With no output schema and no annotations, the description must cover returns and behavior; it does explain the return (schema-matched typed JSON) and cost, but omits error/failure semantics and the odd fact that both inputs are marked required:0 while the trigger implies a url and schema are needed.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning beyond the schema's generic 'Input parameter for url/schema' text by clarifying that 'schema' is a JSON schema 'defining desired fields' and that output is typed to match it, so a 4 is warranted.

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?

States a specific verb and resource: 'custom JSON extraction from an arbitrary webpage using AI schema parsing'. The word 'arbitrary' implicitly separates it from the site-specific siblings (amazon_bestsellers, linkedin_scraper, etc.), but no sibling is named, so it stops short of a 5.

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 labeled 'Trigger' clause gives an explicit condition: call when custom JSON extraction from an arbitrary webpage via AI schema parsing is needed. It does not state when NOT to use it or name the site-specific scrape alternatives an agent should prefer instead.

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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