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Get Search Engine Info

get_search_engine_info
Read-onlyIdempotent

Retrieve metadata for any Programmable Search Engine using the owner's Google email address. Obtain configuration details without navigating the Google admin console.

Instructions

Retrieves metadata about a Programmable Search Engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesThe user's Google email address. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

B3.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds that the tool returns metadata rather than content, which is mildly informative, but it does not discuss auth needs, rate limits, or which specific search engine is being referenced.

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 concise sentence with no redundant wording, filler, or repeated annotation content. It is front-loaded with the action verb and direct object.

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?

This is a simple one-parameter read-only tool with an output schema and strong annotations, so the description only needs to be minimally complete. However, it leaves ambiguity about how the email parameter identifies the search engine and does not mention auth context, which slightly weakens completeness.

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?

The input schema fully describes user_google_email as the user's Google email address and marks it required, so schema coverage is 100%. The description adds no additional meaning about how this email maps to a specific Programmable Search Engine, so the baseline of 3 applies.

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 states a clear action ('Retrieves metadata') on a specific resource ('a Programmable Search Engine'), making the tool's basic function obvious. It is not a tautology and does not appear to overlap with content-returning siblings, but it does not explicitly differentiate itself from related tools like search_custom.

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 gives no guidance on when to use this tool versus alternatives, and it does not mention prerequisites such as completing Google authentication or whether this should be called before search_custom. Usage context is left entirely to the agent's inference.

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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