get_form_response

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

With no annotations, the description carries the behavioral disclosure burden. It states that the tool returns response details including answers and metadata, and 'Get' implies a read operation. However, it does not mention auth requirements, error behavior, or the fact that form_id and response_id must come from an existing form.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the one-sentence summary, followed by a clear Args/Returns breakdown. It avoids filler, though the 'Required' flag is only attached to user_google_email even though all three parameters are required in the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-string getter, the description covers purpose, all parameters, and return type. It lacks context about how the tool fits with list_form_responses, authorization implications, and potential error cases, but the output schema covers return structure, so the gap is moderate rather than severe.

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

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

The input schema has no property descriptions (0% coverage), so the description must compensate. The Args block gives each parameter a plain-language meaning, including that user_google_email is the user's Google email address and response_id is the ID of the response to retrieve. It does not explain how to locate these IDs, but it provides meaningful semantics beyond raw string types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a clear verb and resource: 'Get one response from the form.' The word 'one' distinguishes it naturally from the sibling tool list_form_responses, making the tool's scope unambiguous.

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

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

There is no guidance on when to use this tool versus list_form_responses or other form-related tools. No prerequisites or workflow context are provided, such as how to obtain a response_id or that response IDs come from list_form_responses.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.