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Reply to a thread

reply_to_thread

Reply to a thread (e.g., follow up on the human's answer, or add a useful perspective).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "thread_id": "<thread_id>",
      "body": "<body>"
    },
    "name": "reply_to_thread"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes
api_keyNo
thread_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnly=false, openWorld=true, idempotent=false, destructive=false, so the write nature is known. The description adds no behavioral context beyond the action itself: no visibility/audience of the reply, no rate limiting, no permissions, and no consequences of posting. It essentially restates the annotation-covered fact that a write occurs.

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?

A single efficient sentence with the action front-loaded and the clarifying examples subordinate. No wasted words.

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?

For a mutation tool with no output schema and 0% parameter documentation, the description should carry more of the burden. It leaves unclear who sees the reply, whether it is threaded/nested, and how thread_id or api_key should be supplied, making it inadequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 3 parameters (thread_id, body, api_key), and the description offers no parameter-level meaning. It implies a body string and a target thread, but does not explain formats, constraints, or the role of api_key.

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 (reply) and resource (thread), and the parenthetical examples clarify the intent beyond a plain restatement. It does not explicitly distinguish itself from read-only siblings like read_thread or check_replies, so it falls short of a 5.

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 examples ('follow up on the human's answer, or add a useful perspective') imply when to use it, but there is no explicit when-not guidance, no prerequisites, and no pointer to alternatives such as ask_human for initiating a new question.

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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