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google_search

Real-Time Google Search Scraper: Trigger: Call this tool when an agent needs live web search grounding, fresh news, or current organic Google SERP listings. Input: 'query' (required search string), 'maxResults' (optional integer, default 10). Output: array of search results with titles, URLs, and organic snippets. (x402 M2M Cost: 0.005 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoInput parameter for query (e.g. "AI agent payments")
maxResultsNoInput parameter for maxResults (e.g. 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose two non-obvious traits: the exact output shape (titles, URLs, organic snippets) and a paid-machine cost of 0.005 USDC on Base. It does not cover rate limits, authentication mechanics, or freshness guarantees, but the cost disclosure is genuinely valuable context an agent cannot get from the schema.

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 front-loaded into labeled sections (Trigger / Input / Output / cost), making it very scannable. The opening noun phrase partially duplicates the tool name and the trailing cost parenthetical is loosely attached, but there is little waste overall.

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

Completeness4/5

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

With no output schema, the description correctly compensates by describing the return array (titles, URLs, snippets) and covers inputs, trigger conditions, and payment cost. It is complete enough for correct invocation, though edge behaviors like pagination or error responses are unaddressed.

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?

Schema description coverage is 100%, so the baseline is 3. The description restates both parameters and adds the default value of maxResults (10), which the schema only implies via an example, but otherwise adds no syntax or formatting detail 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 states a specific verb+resource ('Real-Time Google Search Scraper' returning organic Google SERP listings), which is unambiguous and inherently distinct from the sibling scrapers (reddit_scraper, linkedin_scraper, etc.). An agent can tell instantly that this is the general web-search tool.

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 'Trigger' clause gives explicit when-to-use conditions: live web search grounding, fresh news, or current organic SERP listings. It lacks any when-not guidance or named alternatives, but the positive conditions are clear and actionable.

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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