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

With no annotations, the description carries the full burden. It discloses that this is a write operation that scans all cells and mutates the hierarchy into Organs and Human evaluator nodes, but it omits irreversibility, required permission level, side effects, and what happens to existing structures.

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 two sentences, front-loaded with the write classification and the core purpose. Every sentence contributes useful information without repetition or filler.

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?

There are no annotations and no output schema, so the description must compensate for missing behavioral detail. For a high-impact write tool that scans all cells and changes hierarchy, the description is too thin on prerequisites, safety implications, and expected outcomes to be complete.

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 100%, and the single authKey parameter is documented in the schema as 'User or admin auth key.' The description does not add meaning about authKey usage or the public/private distinction beyond the tag, so the baseline 3 applies.

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 and resource: 'Run full auto-evolution & clustering cycle,' then explains the scan and clustering into Organs and Human evaluator nodes. It is clear what the tool does, but it does not explicitly distinguish itself from siblings like promote_to_organ or create_human_node.

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?

There is no guidance on when to use this tool versus alternatives such as check_evolution_readiness, promote_to_organ, or execute_dytopo_round. The '[PUBLIC/PRIVATE WRITE]' tag implies a write operation, but no prerequisites, exclusions, or selection conditions are given.

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