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Submit Onboarding Answer

submit_onboarding_answer

Submit an answer to a generated onboarding question. Mirrors POST /api/onboarding/:id/answer. Requires confirmation: true.

Input Schema

NameRequiredDescriptionDefault
answerYesAnswer text
sessionIdYesOnboarding WorkSession id
questionIdYesQuestion id being answered
confirmationYesMust be true to execute the mutation
idempotencyKeyNoOptional idempotency key — calls with the same key (per-user, within 24h) return the cached response without re-executing.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already state that this tool is a mutation, not destructive and not idempotent, and the description adds that a confirmation flag is required and that the tool mirrors a REST endpoint. These additions are useful. However, they do not say what happens to the session after an answer is accepted, whether existing answers are overwritten, or what the caller gets back.

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?

Two short sentences lead with the action, and the confirmation requirement follows immediately. 'Mirrors POST /api/onboarding/:id/answer' adds developer-facing detail that an agent gains little from. Aside from that sentence, it is lean.

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?

This is a 5-parameter mutation with no output schema and no annotation-level detail about side effects. The description covers the action and the confirmation gate, but it says nothing about what a successful submission returns (for example, the next question) or whether a wrong answer can be corrected.

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% and every parameter, including the optional idempotencyKey and the 24-hour cache scope, is documented in the schema itself. The description adds only the redundant 'Requires confirmation: true' restatement and no new semantics for sessionId, questionId, or answer, so the baseline 3 applies.

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 names a specific verb and resource: submit an answer to a generated onboarding question. It is clear what the tool does, but it never distinguishes itself from the near-identical sibling submit_work_session_answer, so the agent has to infer which question-answering tool applies to which context.

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 gives no when-to-use guidance, no prerequisites beyond the confirmation flag, and no exclusions. It does not say which sibling to use first (get_onboarding_session for the question, ack/commit tools for the session lifecycle), so the sequencing of this tool must be inferred from the sibling list.

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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