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Reply to a task

follow_up

Send a message on a task started with start_task, such as an answer to the agent's question or a change of plan. A message sent while an agent is working waits and starts the next agent. A task that has stopped picks up again, and the agent may push more commits to the task's pull request.

Input Schema

NameRequiredDescriptionDefault
textYes
task_idYesThe task id (from list_tasks).
workspace_idNoThe task's workspace id (from whoami). Optional: Sinatra finds it from task_id.
idempotency_keyNoRetrying with the same key sends the message once.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Goes well beyond the annotations by explaining the asynchronous semantics: a message sent mid-work queues and starts the next agent, a stopped task resumes, and the agent may push further commits to the PR. This is exactly the kind of non-obvious side-effect context annotations (readOnly=false, destructive=false) cannot convey.

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?

Three short sentences, front-loaded with the action and its precondition. The final sentence about commits on the pull request is informative but slightly narrower in scope than the rest, a small inefficiency rather than a flaw.

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?

For a 4-parameter open-world mutation tool with no output schema, the description covers the important unknowns: prerequisite tool, message-while-busy behavior, restart behavior, and downstream effects. It does not mention return values or failure modes, but with no output schema that is a minor gap.

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 75% and already documents task_id, workspace_id, and idempotency_key; the description adds no syntax, format, or constraint detail for 'text' or any other field. Baseline 3 is appropriate where the schema does the heavy lifting.

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 ('Send a message on a task') and anchors it to the originating tool ('started with start_task'), which separates it from start_task/delegate_ticket in the sibling list. It does not explicitly contrast itself with other siblings such as get_messages, so it stops just short of full differentiation.

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 concrete triggering contexts ('an answer to the agent's question or a change of plan') and the precondition that the task must have been created via start_task. What is missing is an explicit 'use X instead' for the case where no task exists yet.

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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