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google_search

Search for information using Google search API to retrieve relevant web results based on your query parameters.

Instructions

Search for information using Google search API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMaximum number of results (from 1 to 20)
queryYesSearch query. For example: 'python fastapi'
timeoutNoTimeout in seconds (20-1500)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's a search operation but doesn't mention any behavioral traits such as rate limits, authentication needs, response format, or potential errors. This is a significant gap for a tool with no annotation coverage.

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?

The description is a single, efficient sentence that directly states the tool's function without any unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like rate limits or response structure, which are crucial for a search tool. The schema covers parameters well, but overall context is insufficient for effective tool 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 description coverage is 100%, so the schema fully documents all parameters (query, count, timeout). The description doesn't add any meaning beyond what the schema provides, such as search syntax tips or result formatting, which keeps it at the baseline score of 3.

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 the verb ('Search') and resource ('information using Google search API'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools, which are all for different platforms (Instagram, LinkedIn, Reddit) rather than alternative search tools, so the distinction is inherent but not explicitly stated.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention any context-specific scenarios, prerequisites, or exclusions, leaving the agent to infer usage based on the tool name alone.

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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