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Check AI Pack submission readiness

get_ai_pack_submission_readiness

Check AI Pack submission readiness by identifying missing TAIP, metadata, and imagery requirements, then receive exact next actions to resolve them.

Instructions

Return missing TAIP, metadata, and imagery requirements with exact next actions.

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": {
      "productId": "<productId>"
    },
    "name": "get_ai_pack_submission_readiness"
  }
}

Input Schema

Name	Required	Description	Default
`productId`	Yes	Tetrees AI Pack product id

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.2.1Sep 7, 2026

TDQS

A3.5/5.0

Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. The verb 'get' and 'Return' strongly imply a read-only operation, and 'exact next actions' clarifies it produces guidance rather than performing changes. However, it does not explicitly state that no state is modified or mention any authentication or access requirements.

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?

A single sentence with no filler. The key verb, target categories, and outcome are all front-loaded. Every word earns its place.

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?

The tool is simple with one parameter and no output schema, and the description gives a reasonable summary of what is returned. However, it omits the structure or format of 'exact next actions' and leaves the TAIP acronym unexplained, which could leave an agent uncertain about how to interpret or act on the result.

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 description coverage is 100%, so the single productId parameter is already fully documented in the schema. The description does not add parameter-level detail, but the baseline of 3 applies when the schema does the heavy lifting.

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 description states a specific verb ('Return') and resource ('requirements for AI Pack submission readiness'), and lists the distinct categories checked (TAIP, metadata, imagery) plus the added value ('exact next actions'). It is clear enough to distinguish from sibling submission/upload tools, though it does not explicitly contrast with them.

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 title and description imply this is a readiness check to run before submitting an AI pack, but no explicit when-to-use or when-not-to-use guidance is given. An agent must infer from the tool name and sibling context that it should be used ahead of submit_ai_pack_for_audition.

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