evolve_generation

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

No annotations are provided, so the description carries the full burden. It describes the tool's behavior (analyzes performance, provides crossover recommendations, identifies best solutions, suggests combinations), but lacks details on side effects, error conditions, or output format. For a tool with no annotations, this is a moderate but incomplete disclosure.

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 well-structured and concise: a brief purpose statement followed by elaboration and a clear usage instruction. Every sentence adds value without redundancy, and it's front-loaded with the core function.

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?

Given the tool's complexity (evolutionary analysis with no parameters) and lack of annotations/output schema, the description covers purpose and usage well but omits details on what the tool returns or how failures are handled. It's adequate for basic understanding but leaves gaps for robust agent operation.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the tool's function and usage context. A baseline of 4 is applied since no parameters exist to document.

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 tool's purpose: 'Evolve to the next generation using crossover analysis' and elaborates on analyzing performance and providing recommendations. It distinguishes from siblings like 'add_solution' or 'score_solution' by focusing on generation evolution, though it doesn't explicitly contrast with 'get_evolution_status' or 'start_evolution'.

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 provides explicit usage guidance: 'Use this after all solutions in the current generation have been fully scored.' This clearly indicates when to invoke the tool relative to other operations, helping the agent sequence actions correctly without needing trial and error.

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