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dipseth

google-workspace-unlimited

List Form Responses

list_form_responses
Read-onlyIdempotent

Retrieve all responses from a Google Form with pagination and structured answer mapping. Returns data ready for analysis.

Instructions

Retrieve all responses from a Google Form with efficient pagination support and structured answer mapping. Returns comprehensive response data ready for analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_idYesThe unique ID of the form to retrieve responses from. Get this from create_form output.
page_sizeNoNumber of responses to return per page. Range: 1-100 responses per page. Recommendations: Small forms: 10-25, Large surveys: 25-50, Bulk export: 100
page_tokenNoToken for pagination continuation. Use nextPageToken from previous response for subsequent pages. Set to None to start over from the beginning.
user_google_emailNoThe user's Google email address for Forms access. If None, uses the current authenticated user from FastMCP context (auto-injected by middleware).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
errorNo
formIdYes
formTitleYes
pageTokenYes
responsesYes
userEmailYes
nextPageTokenYes
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the agent knows this is a safe, read-only operation. The description adds context about pagination and comprehensive output but does not disclose potential rate limits or authentication details (though user_google_email is in schema).

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?

Two sentences with no redundancy. The first sentence front-loads the purpose and key features, the second emphasizes output quality. Every word earns its place.

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?

With an output schema present, the description does not need to explain return values. It covers the core functionality (list all responses with pagination) adequately. Could briefly mention the nextPageToken but that is implicit from the schema. Overall complete for a list tool with rich annotations.

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?

Schema description coverage is 100%, so the schema already explains all parameters. The description only reiterates 'pagination support' which is already covered by page_size and page_token descriptions. No additional meaning is added beyond the schema.

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 the verb 'retrieve', the resource 'all responses from a Google Form', and key differentiators like 'efficient pagination support' and 'structured answer mapping'. This makes the purpose highly specific and distinguishable from sibling tools like get_form_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 explicit guidance on when to use this tool versus alternatives such as get_form_response or get_response_details. The description implies retrieval of all responses but does not provide usage context 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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