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google_search

Returns normalized Google web search results via browser renderers, with stale-cache fallback and rate limiting.

Instructions

Google search API. Returns normalized Google web search results. Results are fetched through proxied browser renderers that race several concurrent renders per request and return the first clean result, with stale-cache fallback when available. The endpoint returns 503 when Google serves a challenge page or unusable HTML. Rate limit is enforced at 1 request per second, and if the limit is exceeded a 429 status code is returned with rate limit headers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchOptionYesSearch options
Behavior5/5

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

No annotations provided, but the description fully discloses behavior: proxied browser rendering, concurrent renders, stale-cache fallback, and error codes for 503 and 429 with rate limit details.

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 paragraph containing essential details like error handling and rate limiting, but it could be more structured (e.g., bullet points). It is concise and front-loaded.

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 a complex nested parameter and no output schema or annotations, the description should explain parameter usage and output format. It only covers error codes and rate limit, leaving parameter semantics and return values unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% but the schema description for 'searchOption' is just 'Search options', which is vague. The tool description adds no additional meaning about the parameter's fields or structure, so it fails to compensate.

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 'Google search API' and 'Returns normalized Google web search results', specifying the verb and resource. It distinguishes from siblings like google_news and other search engines.

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 explicitly state when to use this tool versus alternatives like bing_search or google_news. It implies general web search but lacks direct comparison or when-not-to-use guidance.

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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