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Get Test Question Responses

get_test_question_responses
Read-onlyIdempotent

Read typed participant answers for one Survey question, using its exact ref. Optionally filter by a real testerName returned by list_test_questions. Use IDs from list_test_blocks to target a block/run; omission uses the documented defaults. Legacy tests also supported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYes
runIdNo
testIdYes
blockIdNoSelect one block from list_test_blocks. Omit to infer a sole relevant block; list_insights defaults to all AI blocks. Omit for legacy tests.
testerNameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNo
dataNo
retryNo
runIdNo
scopeNo
numberNo
statusNo
testIdNo
blockIdNo
messageNo
clustersNo
nextStepNo
questionNo
paywalledNo
responsesNo
questionTypeNo
totalResponsesNo
testerResponsesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds marginal context — the defaults on omission and 'Legacy tests also supported' — but discloses nothing about pagination or result volume beyond what the output schema would carry.

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

Conciseness4/5

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

Four tight sentences front-load the core action, then layer sourcing and defaults. No filler, though the final 'Legacy tests also supported' clause is a dangling fragment that could be integrated more cleanly.

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, return values need no explanation, and annotations carry the safety profile, so the description's remaining burden is parameter sourcing and defaults — both addressed. The one notable gap is the failure to distinguish this tool from the non-test get_question_responses sibling.

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 only 20% (just blockId documented), so the description must compensate and partially does: it sources testerName from list_test_questions and block/run IDs from list_test_blocks, and explains the omission default. However, 'exact ref' and the mandatory testId/runId relationship are not elaborated, leaving gaps for a low-coverage schema.

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?

States a specific verb and resource ('Read typed participant answers for one Survey question') and pins scope with 'using its exact ref.' This is more precise than a generic read, but it never contrasts itself with the sibling get_question_responses, so sibling differentiation is left to inference.

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

Usage Guidelines4/5

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

Gives clear conditional usage: testerName is optional and must be 'a real testerName returned by list_test_questions,' and block/run IDs come from list_test_blocks, with omission falling back to documented defaults. It names sibling tools for sourcing values but offers no exclusions or when-not guidance.

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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