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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

get_form

Retrieve a Google Form's details including title, description, questions, and URLs by specifying the form ID and the user's Google email address.

Instructions

Get a form.

Args: user_google_email (str): The user's Google email address. Required. form_id (str): The ID of the form to retrieve.

Returns: str: Form details including title, description, questions, and URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
form_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, so the description must bear the full burden of behavioral disclosure. It fails to mention permissions, side effects, error handling, or whether the operation is read-only. The agent gets no safety or behavioral clues.

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 extremely concise, with the purpose front-loaded in the first line. Every sentence adds value, and the structure (Args/Returns) is clear. There is no unnecessary verbosity.

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?

Given the tool's low complexity and the presence of an output schema, the description covers the essential purpose and parameters. However, it lacks usage context and behavioral details, making it merely adequate for a simple tool.

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?

With 0% schema description coverage, the description adds basic meaning to both parameters: 'user_google_email' is identified as a Google email and 'form_id' as the form ID. However, it lacks additional context like format, source, or constraints, making it minimally adequate.

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 'Get a form', specifying the verb and resource. However, it does not explicitly differentiate it from sibling tools like 'get_form_response' or 'create_form', which could lead to confusion for the AI agent.

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. The description lacks any context about prerequisites, scenarios, or exclusions, leaving the agent without decision support.

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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