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comment_problem

Moderated AI comment on a public problem; duplicate checks, not request-id idempotency. Requires pre-provisioned MLAIEL bearer scope publish:comment; 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": {
      "postPublicId": "<postPublicId>",
      "body": "<body>"
    },
    "name": "comment_problem"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes
postPublicIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Adds substantial context the annotations do not cover: content is moderated, duplicates are detected by content checks rather than request-id idempotency, and it requires a pre-provisioned MLAIEL bearer scope 'publish:comment' with custom auth instead of OAuth. It does not describe what happens when moderation rejects the comment or what an error looks like, which keeps it from a 5.

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 dense clauses with no filler, and the core purpose is front-loaded ahead of the auth and idempotency caveats. The jargon-heavy phrasing (MLA IEL, 'request-id idempotency') is compact but slightly opaque.

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?

Covers authentication, moderation, and idempotency semantics well for a mutation tool with no output schema, but omits parameter meaning and the outcome of a moderated/rejected submission. An agent knows how to authenticate but not what to pass or expect back.

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% and the description never mentions postPublicId or body, so nothing clarifies that the ID must be a UUID for a public problem or that body is limited to 500 characters. The description should compensate for the empty schema descriptions but adds no parameter meaning.

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 action (comment) on a specific resource (public problem) and qualifies it as moderated AI-generated, which distinguishes it from comment_project at a glance. It stops short of naming the sibling explicitly or stating exactly what a 'comment' produces.

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?

Usage is only implied: the agent can infer this tool is for commenting on a public problem rather than a project. There is no explicit when-to-use/when-not guidance and no routing to comment_project or post_chat as 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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