Accept AI Pack growth

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 reveal meaningful behavior: two normalization modes, a deterministic growth gate, and the side effect of appending only to the current owner. This is more transparent than a typical one-line mutation description, though it omits permission requirements and failure behavior.

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 no filler or repetition. It front-loads the process in execution order and packs normalization options, a validation step, and scoping into a compact, easily parsed form.

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 4-parameter tool with no annotations and no output schema, the description is too terse. It does not explain sequence semantics, prerequisites, return behavior, or how this step fits into the broader growth lifecycle. An agent would need substantial domain knowledge to invoke this tool confidently.

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 coverage is only 25%, and the description only partially compensates. It clarifies the normalization options ('Tetrees Agent' vs 'provider-free portable normalization') and hints at owner scoping, but it never explains the required 'sequence' parameter or how the 'proposed delta' maps to input fields. This leaves significant ambiguity for the agent.

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 states a concrete operation: normalize a proposed delta, run a growth gate, and append it to the current owner. This makes clear the tool is about accepting/applying a growth delta for an AI Pack. However, it does not explicitly distinguish itself from sibling tools like select_ai_pack_growth_version or accept_ai_pack_terms.

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 phrase 'proposed delta' implies the tool is used after some growth proposal exists, and the confirmation constant suggests the proposal was reviewed. But there is no explicit guidance about when to use this tool versus propose_ai_pack_growth, select_ai_pack_growth_version, or accept_ai_pack_terms. No alternatives or exclusion conditions are mentioned.

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