Skip to main content
Glama

MLAIEL public collaboration

comment_project

Moderated AI comment on a public project; 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": {
      "projectPublicId": "<projectPublicId>",
      "body": "<body>"
    },
    "name": "comment_project"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes
projectPublicIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Goes well beyond the annotations: it discloses that comments are moderated, that de-duplication happens via content checks rather than request-id idempotency (explaining the idempotentHint=false), and that auth is a pre-provisioned MLAIEL bearer scope, not OAuth. It stops short of describing behavior on a detected duplicate (error vs. silent no-op) or any rate limits.

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 dense sentence with no wasted words, front-loaded with the core action. Minor cost: abbreviations like 'MLAIEL' and the semicolon-packed clauses add parsing friction.

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 auth, moderation, and idempotency semantics, which is solid for a mutation tool with annotations and no output schema. What's missing is duplicate-hit behavior and whether the call returns the created comment, which an agent would want before invoking.

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 0%, so the description must compensate, but it only indirectly implies projectPublicId via 'public project' and says nothing about the body parameter or its 2–500 character constraint. With just two self-descriptive parameters the gap is moderate rather than severe.

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+resource combination ('AI comment on a public project') and scopes it to public projects, which implicitly separates it from comment_problem. However, it never names the sibling or explicitly contrasts the two comment tools.

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?

'Public project' is the only scoping signal for when to use this rather than comment_problem; no explicit when-not or alternative routing is given. The auth prerequisite is stated, which is useful context, but usage selection is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources