Check AI Pack submission readiness
get_ai_pack_submission_readinessReturn missing TAIP, metadata, and imagery requirements with exact next actions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| productId | Yes | Tetrees AI Pack product id |
get_ai_pack_submission_readinessReturn missing TAIP, metadata, and imagery requirements with exact next actions.
| Name | Required | Description | Default |
|---|---|---|---|
| productId | Yes | Tetrees AI Pack product id |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, and the description is consistent with them — no contradiction. The description adds mild behavioral context by indicating the tool is prescriptive (returns 'exact next actions'), not just a status listing, but adds nothing about auth needs, rate limits, or response format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler. The verb, resource, and output value all appear immediately, and every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter, read-only check tool with safety covered by annotations, the description adequately conveys what will be returned. Although there is no output schema, the description states the return content (requirements and next actions). Slightly more explicit routing versus the many related siblings would make it fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the single productId parameter is fully documented as a UUID with a clear description. The tool-level description adds no parameter-level meaning beyond what the schema already provides, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Return') and a clearly scoped resource (AI Pack submission readiness), plus the concrete output content (missing TAIP, metadata, imagery requirements and next actions). This distinguishes it from sibling tools like get_ai_pack_report or submit_ai_pack_for_audition, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The tool name and description strongly imply it is a pre-submission/pre-publish gate check, but the description never explicitly says 'use before submit_ai_pack_for_audition or publish_ai_pack' or states when not to use it. Usage context is implied by the name rather than stated.
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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