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

Adds real behavioral context beyond the annotations: success strengthens used edges, failure weakens them, growth and pruning follow the genome's rules under safety axioms (NG1), and it returns new developmental-ledger events. This is consistent with destructiveHint=false (weakening is a learning update, not data destruction) and idempotentHint=false (repeated submissions compound), though it doesn't say whether repeat submissions are cumulative or how to undo one.

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?

Two sentences, front-loaded with the verb and the payload, then mechanics. The inline brace enumeration is dense but information-efficient; nothing is 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?

An output schema exists, so omitting return-value detail is fine, and the description usefully summarizes it as new ledger events. For a mutation tool with a free-form nested parameter and zero schema coverage, the main gap is the unexplained request_id and the absence of any stated prerequisite or alternative-tool guidance.

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?

With 0% schema coverage and a free-form nested object, the description carries the full burden and mostly succeeds: it enumerates the evaluation fields (task_id, task_type, success_score bounded to [0,1], and the optional accuracy/user_satisfaction/cost_efficiency/safety_score/notes/used_nodes/used_edges). agent_id is self-evident, but request_id is never explained, so its purpose (dedup? tracing?) is left to inference.

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?

States a specific verb and effect: 'Evolve an agent with one task outcome', plus what the outcome does to the graph (strengthen/weaken edges). It is clear what the tool does, but it never distinguishes itself from the closest sibling, record_route_outcome, which plausibly also feeds task outcomes into the system.

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?

Usage is only implied: an agent calls this after a task completes because the payload is a task outcome. There is no explicit when-to-use, no prerequisites (e.g., must route_task have run first), and no statement of how it differs from record_route_outcome when both could apply.

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