generate_lab

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it generates a lab, which is a non-destructive content generation behavior, but it does not disclose any limitations, prerequisites, or what the output format will be. For a simple generator, this is sufficient but not rich in behavioral context.

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?

A single, concise sentence that front-loads the main action and quickly conveys the tool's purpose. It is appropriately sized with no redundant information.

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 moderate complexity (4 params, all documented) and lack of output schema, the description covers the core purpose but does not elaborate on the generated lab's structure or how to interpret the output. Since no output schema exists, the description could benefit from mentioning what the output contains, but it is adequate for basic selection.

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 provides descriptive text for all four parameters (topic, duration, environment, os_attacker), achieving 100% coverage. The description itself adds no additional parameter semantics beyond restating the general purpose; it does not explain how parameters interact or provide examples.

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 generates a complete, step-by-step practical lab for practicing any cybersecurity technique, using the specific verb 'Genera' and resource 'laboratorio práctico completo y paso a paso'. This distinguishes it from sibling tools like get_cheatsheet or get_roadmap, which provide reference materials rather than hands-on labs.

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 used when you want to practice a technique in a controlled environment, but it does not explicitly compare with alternatives or state when not to use it. There is no mention of when to choose generate_lab over explain_attack or ctf_hint, making usage guidance only implied.

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