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ZatesloFL

Google Workspace MCP Server

by ZatesloFL

get_form_response

Retrieve specific form response details, including answers and metadata, from Google Forms using the user's Google email, form ID, and response ID.

Instructions

Get one response from the form.

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

Returns: str: Response details including answers and metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_idYes
response_idYes
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a read operation ('Get'), but doesn't mention authentication requirements, permission levels needed, rate limits, error conditions, or what happens if the response doesn't exist. For a tool that accesses potentially sensitive form response data, this is a significant gap.

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 efficiently structured with a clear purpose statement followed by well-organized sections for Args and Returns. Every sentence serves a distinct purpose with zero wasted words, making it easy to scan and understand quickly.

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?

For a read operation with 3 parameters and an output schema, the description covers the basic purpose and parameters adequately. However, without annotations and with sensitive data access (form responses), it should provide more behavioral context about authentication, permissions, and error handling. The existence of an output schema reduces the need to describe return values, but the description could better address the tool's operational context.

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

Parameters4/5

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

The description provides meaningful context for all three parameters in the 'Args' section, explaining what each parameter represents (user's Google email, form ID, response ID). With 0% schema description coverage, this documentation is essential and adds substantial value beyond the bare schema. The only minor gap is not explaining why user_google_email is required.

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 tool's purpose with a specific verb ('Get') and resource ('one response from the form'), making it immediately understandable. It distinguishes itself from sibling 'list_form_responses' by focusing on retrieving a single specific response rather than listing multiple responses.

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?

The description provides no guidance on when to use this tool versus alternatives. While it implicitly contrasts with 'list_form_responses' by retrieving a single response, there's no explicit mention of when to choose this over batch operations or other form-related tools, nor any prerequisites or constraints for usage.

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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