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redesignhealth

Google Workspace MCP Server

get_search_engine_info

Retrieves metadata for a Programmable Search Engine, including configuration and refinements, using your Google email.

Instructions

Retrieves metadata about a Programmable Search Engine.

Args: user_google_email (str): The user's Google email address. Required.

Returns: str: Information about the search engine including its configuration and available refinements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the transparency burden. It does not disclose whether this operation is read-only, requires specific authentication, or has any side effects. The Returns section describes output but not behavior.

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 short and structured with Args and Returns sections. Every sentence serves a purpose, and the main action is front-loaded.

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?

For a one-parameter read-only tool with an output schema, the description covers the essentials. It explains the return value's content (configuration and refinements) and the required parameter, making it reasonably complete for its simplicity.

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 schema has no descriptions, and the description provides a basic explanation for the only parameter ('The user's Google email address. Required.'). This adds some meaning beyond the raw schema, though the parameter name is already self-explanatory.

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 'Retrieves metadata about a Programmable Search Engine,' a specific verb and resource. It distinguishes itself from search-execution siblings by focusing on metadata, not search results.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention that it is for configuration inspection before searching, nor does it contrast with search_custom or search_custom_siterestrict.

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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