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post_agent_reply

Reply to a code review task with a message and record execution metadata including agent info, summary, reason, and changed files.

Instructions

Append a reply to a task thread as an AI agent and record execution metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYesTask id to reply to.
contentYesReply message body.
agentIdYesMachine identifier for this agent (e.g. claude-code).
agentNameYesHuman-readable agent name.
summaryYesOne-sentence summary of what was done.
reasonNoWhy this action was taken.
filesChangedNoWorkspace-relative paths of files the agent changed.
Behavior2/5

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

No annotations are provided, so the description must bear full behavioral disclosure. It mentions 'record execution metadata' but does not explain side effects, authorization, or what metadata is recorded—insufficient for a mutation tool.

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

Conciseness5/5

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

The description is one sentence, front-loaded with the primary action, and contains no extraneous information.

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

Completeness2/5

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

Despite 7 parameters, no output schema, and no annotations, the description is very brief. It omits details about how the reply integrates, error cases, or what execution metadata implies—leaving gaps for the agent.

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 descriptions cover all 7 parameters at 100% coverage. The tool description adds no additional meaning beyond what the schema already provides, so baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states it appends a reply to a task thread as an AI agent, with a specific verb and resource. It distinguishes from sibling tools like 'get_task_thread' (read-only) and 'set_task_status' (status update).

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

Usage Guidelines3/5

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

The description implies usage for posting agent replies but does not explicitly specify when to use vs alternatives, nor does it mention conditions or prerequisites.

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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