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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

list_form_responses

Fetch paginated responses from a Google Form by providing the form ID and user email.

Instructions

List a form's responses.

Args: user_google_email (str): The user's Google email address. Required. form_id (str): The ID of the form. page_size (int): Maximum number of responses to return. Defaults to 10. page_token (Optional[str]): Token for retrieving next page of results.

Returns: str: List of responses with basic details and pagination info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
form_idYes
page_sizeNo
page_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. It mentions pagination via page_token and page_size, disclosing that results are paginated. However, it does not clarify read-only nature, limits, or error 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 a single sentence for purpose followed by a clear list of parameters. No redundant text. Information is front-loaded and well-organized.

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?

Covers main purpose, parameters, and return type (string with pagination info). However, lacks detail on error handling, empty results, or rate limits. For a simple list tool, this is adequate but not exhaustive.

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

Parameters5/5

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

The description explains all four parameters with type and meaning (e.g., 'user_google_email (str): The user's Google email address. Required.'). Since the input schema has 0% description coverage, the description fully compensates.

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 tool name 'list_form_responses' clearly indicates listing responses of a form. The description 'List a form's responses.' is precise. Sibling tools like 'get_form_response' (singular) and 'get_form' further differentiate it.

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 explicit guidance on when to use this tool vs alternatives (e.g., get_form_response for a single response). The description only lists required arguments without usage context.

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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