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Yrobot

cloudflare-search

by Yrobot

search

Aggregate search results from Google, Brave, DuckDuckGo, and Bing in a single query. Each result includes source attribution.

Instructions

Search across multiple search engines (Google, Brave, DuckDuckGo, Bing) and return aggregated results. This tool provides comprehensive search results from multiple sources, with source attribution for each result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query string
enginesNoOptional: Array of search engines to use. If not specified, uses default engines. Available engines: google, brave, duckduckgo, bing
Behavior3/5

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

No annotations provided, so description must cover behavior. It mentions aggregated results with source attribution but omits rate limits, authentication needs, default engine list, and error handling for individual engine failures.

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 concise sentences with no redundancy. First sentence states core purpose, second adds key detail about aggregation and source attribution. Every sentence earns its place.

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?

Tool has 2 parameters and no output schema. Description explains return format (aggregated results with source attribution). Missing details on default engine selection and result ordering, but sufficient for typical use.

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%, baseline 3. Description largely restates schema information (query string, engines array with enum values) without adding deeper semantic meaning or usage tips beyond what's in the schema.

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?

Description uses specific verb 'Search across multiple search engines' and explicitly lists engines and result aggregation. Clearly distinguishes from sibling 'web_search' by emphasizing multi-engine capability.

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?

No guidance on when to use this tool versus the sibling 'web_search'. Does not state prerequisites or scenarios where multi-engine search is preferred.

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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