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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

get_search_engine_info

Retrieve metadata about a Programmable Search Engine, including its configuration and available refinements, by providing the user's 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
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It implies a read operation ('Retrieves') and describes the return type as a string with configuration information, but does not explicitly declare read-only status, auth requirements, or potential side effects.

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 brief with no extraneous words. It front-loads the purpose and efficiently documents the parameter and return value.

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?

Given the tool's simplicity (one parameter, read operation), the description provides adequate context: what it retrieves and what it returns. The presence of an output schema (context signal) reduces the need for detailed return description, though error conditions or authentication prerequisites are not mentioned.

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

Parameters4/5

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

The input schema has 0% description coverage; the description compensates by adding that the parameter 'user_google_email' is required and specifies it is the user's Google email address. For a single parameter, this adds meaningful context beyond the schema.

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 it retrieves metadata about a Programmable Search Engine, using a specific verb and resource. While it doesn't explicitly differentiate from siblings, the tool name and purpose are distinct enough among the large sibling list.

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 alternatives or when to avoid it. The description merely states what it does without contextual usage hints.

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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