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

Annotations already indicate readOnly=false and destructive=false. The description adds useful context around cost model (Points vs BYOK), statelessness of preview runs, and request-scoped local files, which goes beyond the annotations.

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 concise at two sentences with no filler. The phrasing is somewhat cryptic and could be clearer, but it remains efficient.

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 9 parameters and no output schema, the description leaves significant gaps: it does not mention return values, errors, prerequisites, or how required parameters like prompt and model should be used. The licensing context helps but is not enough for full operational clarity.

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 44%, and the description partially compensates by clarifying fundingMode (Points/BYOK), growthVersion (saved growth), and attachmentPaths (request-scoped files). However, model, prompt, and token parameters still lack explicit semantics in either the schema or description.

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 clearly states 'Run a Tetrees AI Pack,' identifying the verb and resource, and is distinct from sibling tools like run_ai_pack_audition or quote_ai_pack_audition. It does not fully detail execution semantics, but the core purpose is apparent.

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 does not explicitly say when to use this tool versus alternatives such as run_ai_pack_audition or prepare_local_ai_pack_run. The description focuses on licensing states (Points, acquisition, ownership) rather than actionable usage guidance.

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