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

Annotations already indicate this is not read-only and not destructive, so the description is not responsible for the full safety profile. The description adds context that the run is version-bound and gated by explicit confirmation, which is useful behavioral framing. Still, it does not disclose what state changes occur if gates pass or fail, or whether the audition produces a report or modifies the pack.

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?

The description is a single dense sentence with minimal fluff and front-loads the action. The list of gate types is efficient, though jargon like 'Point confirmation' and 'AVCP' adds compactness at the cost of clarity.

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?

With no output schema and sparse parameter documentation, the description needed to explain return values, side effects, and prerequisites more thoroughly. It supplies only a confirmation precondition and a gate list, leaving the agent without enough context about what a successful or failed audition looks like or what state changes occur.

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 only 20%, and the description does not meaningfully explain the key parameters. Terms like 'version-bound' and 'Point confirmation' loosely allude to expectedVersion and confirmation/expectedPoints, but productId, tier, expectedPoints, and expectedVersion are not clearly described. The description fails to compensate for the schema's sparse parameter documentation.

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 uses a specific verb ('Run') with a clear resource ('ai_pack_audition') and enumerates the exact gate categories: integrity, model, regression, memory-isolation, injection, growth, and cost. This makes the tool's core function identifiable, though it does not explicitly differentiate it from siblings like quote_ai_pack_audition or run_ai_pack.

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?

It states a precondition ('after explicit Point confirmation'), which implies the tool should only be run after confirmation is provided. However, it gives no explicit guidance on when to choose this tool over alternatives such as quote_ai_pack_audition, submit_ai_pack_for_audition, or run_ai_pack, nor does it mention any exclusions.

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