Get one response
formbricks_get_responseFetch a single survey response with its answers, metadata and completion state. Formbricks v2: GET /management/responses/{id}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| response_id | Yes | The response's id. |
formbricks_get_responseFetch a single survey response with its answers, metadata and completion state. Formbricks v2: GET /management/responses/{id}.
| Name | Required | Description | Default |
|---|---|---|---|
| response_id | Yes | The response's id. |
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so safety is covered. The description adds genuinely useful context beyond that: the v2 REST endpoint (GET /management/responses/{id}) and the payload shape (answers, metadata, completion state). It does not cover error behavior (unknown id) or auth requirements, so it stays at a solid but not rich 3.
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?
Two tightly packed sentences with no filler. The payload contents are front-loaded before the API path, which is appropriately secondary detail.
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?
With no output schema present, the description usefully enumerates the returned fields, partially filling that gap, and the single required parameter is fully documented in the schema. Missing only the failure mode for an invalid or inaccessible response_id.
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?
Only one parameter, and schema description coverage is 100% ('The response's id.'). The description adds no format, source, or lookup guidance for response_id beyond what the schema already states, so the baseline 3 applies.
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?
States a specific verb (Fetch) and resource (a single survey response) and enumerates what comes back (answers, metadata, completion state). The word 'single' clearly separates it from formbricks_list_responses without needing the schemas opened.
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?
The adjective 'single' implies this is the by-id counterpart to the sibling list tool, so the use case is inferable, but there is no explicit when-to-use statement, no mention of list_responses as the alternative, and no stated precondition that a known response_id is required.
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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