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dipseth

google-workspace-unlimited

Get Form Response

get_form_response
Read-onlyIdempotent

Retrieve a specific Google Form response with detailed answer mappings to questions for analyzing individual submissions.

Instructions

Retrieve a specific response from a Google Form with detailed answer mappings to questions. Perfect for analyzing individual submissions in detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_idYesThe unique ID of the form containing the response. Get this from create_form output or from list_form_responses.
response_idYesThe unique ID of the specific response to retrieve. Get this from list_form_responses output - each response has a unique ID. Format: Usually a long alphanumeric string from Google Forms API.
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
errorNo
formIdYes
answersYes
successYes
userEmailNo
responseIdYes
answerCountYes
submittedTimeYes
respondentEmailYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds minimal behavioral context (e.g., 'detailed answer mappings') beyond what annotations provide. No contradictions are present.

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, using two sentences to convey purpose and use case. It is front-loaded with the action in the first sentence. Every sentence adds value without redundancy.

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 (3 parameters, output schema exists), the description covers the essential purpose and use case. It does not mention prerequisites like the form_id needing to exist, but this is implied. Slightly more context about field availability could improve completeness.

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 coverage is 100% with all parameters well-described in the input schema. The description does not add additional meaning or context for the parameters beyond what is already in the schema, so the baseline score of 3 is appropriate.

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 the action ('Retrieve a specific response from a Google Form') and specifies 'detailed answer mappings to questions', which helps distinguish it from generic form retrieval. However, it does not explicitly differentiate from the sibling tool 'get_response_details', leaving room for ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for analyzing individual submissions ('Perfect for analyzing individual submissions in detail.') but lacks explicit guidance on when to use this tool over alternatives like 'list_form_responses' or 'get_response_details'. No exclusion criteria or alternative references are provided.

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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