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redesignhealth

Google Workspace MCP Server

list_form_responses

Retrieve paginated responses from a Google Form by form ID, with optional page size and token.

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
form_idYes
page_sizeNo
page_tokenNo
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must carry the burden. It discloses pagination behavior and that results include basic details and pagination info, but it does not explicitly state that the operation is read-only or mention any authentication requirements or 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 compact and well-structured, with a clear one-sentence purpose followed by an organized Args/Returns format. Every sentence adds value and there is no unnecessary verbosity.

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 list operation with pagination and no annotations, the description is largely complete: it covers all parameters, return type, and pagination details. It does not specify what 'basic details' include, but this is a minor gap.

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 fully documents all four parameters with types and explanations (e.g., user_google_email is required, page_size defaults to 10, page_token is optional). This adds significant meaning beyond the bare schema, which lacks property descriptions.

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 opens with 'List a form's responses', using a specific verb and resource. It clearly distinguishes from the sibling get_form_response, which retrieves a single response.

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 is provided about when to use this tool versus alternatives like get_form_response. The description simply states what the tool does without any context on use cases, prerequisites, or exclusions.

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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