evolve_js

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

With no annotations, the description carries the burden of behavioral disclosure. It discloses the iterative evolution process, the threshold termination condition, and a self-learning side effect (accumulates experience, faster over time). However, it does not mention potential failure modes, performance implications, or the nature of persisted state, leaving important behavioral traits undisclosed.

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 primary action and outcome, and the second sentence efficiently adds the self-learning behavior. No redundant or vague wording; every sentence earns its place.

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?

This is a complex tool with six parameters and no output schema. The description explains the high-level evolutionary process but omits what the tool returns (e.g., deobfuscated code, logs, status), potential side effects beyond self-learning, and any conditions for when to use it. The schema covers parameter meaning, but for a tool of this complexity, the description leaves notable gaps in overall completeness.

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 100% with each parameter having a description. The tool description adds no extra parameter semantics beyond what the schema already provides, mentioning only 'matching rate threshold' which is already captured by successThreshold. The baseline of 3 is appropriate when the schema does the heavy lifting.

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 action: launching an automated evolutionary reverse engineering workflow on a target URL until deobfuscated code matching reaches a threshold. It uses a specific verb and resource, and the sibling tools (inject_knowledge, get_evolution_history, query_knowledge) are clearly about knowledge/history, so this tool's role as the main evolution operation is distinct.

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 implies the tool is the primary evolution entry point but does not explicitly state when to use it versus alternatives, nor does it mention any exclusions or prerequisites. The sibling tools are knowledge-related, so context helps, but no explicit usage guidance is provided.

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