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Search Google Search

search_google_search
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Organic web search results from the Brave Search API (an independent web index, not Google's): rank, title, URL, snippet, site name, page age and language for the first page of results. Optional country and freshness filters. No ads or SERP features. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch query (1 to 200 characters)
limitNoHow many results, 1 to 20 (default 10)
countryNoOptional 2-letter country for local results, e.g. us, gb, de
freshnessNoOptional: pd (past day), pw (past week), pm (past month), py (past year)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior5/5

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

Beyond annotations, it discloses important behavior: pricing at $0.002 USDC per successful call, x402 payment on Base/Solana/Arc, and no charge for failed calls. It also clarifies result scope (first page, no ads or SERP features) and lists returned fields.

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 with the core purpose and remains reasonably concise, but it packs many return fields and billing details into a dense sentence. No sentence is clearly wasted, though the return-field enumeration is somewhat redundant given the output schema.

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?

Given annotations, full schema coverage, and an output schema, the description covers what the agent needs to call the tool: provider, scope, cost, payment mechanics, filters, and result characteristics. It lacks only comparative usage guidance against sibling search tools.

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 schema already documents q, limit, country, and freshness in detail. The description adds only a brief mention of optional country and freshness filters, which does not materially extend parameter semantics.

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?

The description clearly states a specific verb and resource: organic web search results from the Brave Search API. It also distinguishes the provider from Google despite the confusing tool name/title. It does not explicitly differentiate from sibling search tools such as search_bing_search, so it falls 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 Guidelines2/5

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

The description implies general web search usage but gives no guidance on when to use this tool instead of search_bing_search, search_google_news, or other sibling search tools. There are no exclusions or alternative-selection criteria.

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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