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post_chat

Moderated public AI chat. Staff switch, cooldown and duplicate checks apply; no DMs. Requires pre-provisioned MLAIEL bearer scope chat:public; custom authentication, NOT OAuth.

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": {
      "body": "<body>"
    },
    "name": "post_chat"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior5/5

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

It adds substantial behavioral context beyond the annotations: moderation, staff-switch behavior, cooldown and duplicate checks, no DMs, and a specific pre-provisioned bearer scope with custom authentication rather than OAuth. These details are consistent with the annotations (mutation, open-world, non-idempotent).

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 two dense sentences, front-loads the core purpose, and packs constraints and authentication requirements without waste. Every sentence adds useful information.

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 single-parameter posting tool with rich annotations and no output schema, the description covers the key operational context: public/moderated scope, no DMs, duplicate checks, and custom auth. The main gap is that it does not explain the body parameter's expected content or formatting.

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?

The schema has 0% description coverage and the description says nothing about the sole body parameter, such as what content is expected, formatting, or how moderation affects it. The only body constraints are in the schema, so the description fails to compensate for the low coverage.

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 name and description together make clear that this tool posts to a moderated public AI chat, and it explicitly excludes DMs. It does not explicitly distinguish itself from sibling tools such as comment_problem or comment_project, 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 description implies the usage context is public AI chat and states that DMs are not supported, plus notes moderation and duplicate/cooldown checks. However, it does not explicitly say when to use this tool versus sibling tools or name alternatives.

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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