Run a Tetrees AI Pack

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does add meaningful behavioral traits: the preview is stateless, local files are request-scoped, and ownership gates BYOK, saved growth, and download. However, it does not disclose output behavior, side effects, authorization requirements, or failure modes, which prevents a higher score.

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 appropriately concise: two sentences with no filler. It front-loads the core purpose and then packs the most important behavioral and ownership constraints into the second sentence. A bit of jargon like 'stateless base preview' and 'BYOK' could be clearer, but overall structure is 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?

For a tool with 9 parameters, no annotations, and no output schema, this description is incomplete. It does not explain what the tool returns, how outputs are delivered, what happens on failed runs, or how this relates to sibling run/prepare/audition tools. The ownership and local-file details are valuable but do not fully equip an agent to call the tool correctly in varied contexts.

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%, so the description must compensate. It adds meaningful semantics for fundingMode ('Points fund...' vs 'Ownership unlocks BYOK'), attachmentPaths ('local files remain request-scoped'), and growthVersion ('saved growth'). However, it leaves several parameters—model, prompt, maxInputTokens, maxOutputTokens, productId—without additional explanation beyond the bare schema, so compensation is partial.

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 the action: 'Run a Tetrees AI Pack' identifies a specific verb and resource. However, it does not explicitly differentiate run_ai_pack from close siblings like run_ai_pack_audition or prepare_local_ai_pack_run, leaving some ambiguity about which run-related tool to select.

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 description implies usage context: 'Before acquisition, Points fund a stateless base preview' and 'Ownership unlocks BYOK, saved growth and download' signal when to use points vs BYOK. But it does not give explicit guidance on when to prefer this tool over alternatives such as run_ai_pack_audition or prepare_local_ai_pack_run, so the guidance remains implied rather than explicit.

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