gen_compile_generated_animation_evidence

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

With no annotations, the description must carry the full behavioral burden. It does not disclose side effects, what evidence is compiled, what the output format is, or any dependencies. The KB reference is external and not part of the description itself, so it adds limited transparency.

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 very brief, consisting of a single sentence plus a KB link and an example. It is efficient and front-loads the main purpose, though the example is not fully self-explanatory.

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 15 parameters, no annotations, and no output schema described, this description is severely incomplete. It does not explain what the evidence contains, how parameters relate to each other, or what the return value is, making it inadequate for correct invocation.

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?

The schema has 15 parameters with 0% coverage, and the description only mentions two parameters in an example without explaining their meaning. It does not describe any parameter semantics, leaving agents to guess what each field represents.

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 ('compile no-spend evidence') and the specific context ('generated Uthana animation lifecycle'), which distinguishes it from other gen_* tools. It's concise and informative about the tool's core function.

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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, sequencing, or when not to use it. The example shows a call but does not clarify the use case.

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