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XRayZen

simple-google-search-mcp

by XRayZen

google_search

Perform Google searches with filters for date, language, country, and safe search. Returns titles, snippets, and URLs.

Instructions

Search Google and return relevant results from the web. Results include titles, snippets, and URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query - be specific and use quotes for exact matches.
num_resultsNoNumber of results to return (default: 5, max: 10).
date_restrictNoRestrict results to a specific time period. Format: [d|w|m|y][number] e.g., "d1" (past day), "w2" (past 2 weeks), "m3" (past 3 months), "y1" (past year).
languageNoRestrict results to a specific language using ISO 639-1 codes. Examples: "en" (English), "es" (Spanish), "fr" (French), "de" (German), "ja" (Japanese).
countryNoRestrict results to a specific country using ISO 3166-1 alpha-2 codes. Examples: "us" (United States), "uk" (United Kingdom), "ca" (Canada), "au" (Australia).
safe_searchNoSafe search level: "off" (no filtering), "medium" (moderate filtering), "high" (strict filtering).
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions output format but does not disclose behavioral traits like rate limits, authentication, or error handling. The description is basic but sufficient for a straightforward search tool.

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 a single sentence that covers purpose and output concisely. It is well-structured but could include usage guidelines without significant bloat.

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 number of parameters and lack of output schema, the description provides adequate context to use the tool. However, it does not explain how to combine parameters effectively or handle edge cases.

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 coverage is 100%, so the input schema already documents all parameters. The description adds no additional semantics for parameters beyond what the schema provides. Baseline score of 3 is appropriate.

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 tool searches Google and returns web results with titles, snippets, and URLs. It is a specific verb and resource, and the purpose distinguishes it from sibling tools that extract content from specific pages.

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 does not provide explicit guidance on when to use this tool versus alternatives. It only describes what it does, leaving the agent to infer usage context from sibling names.

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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