generate_debugging_guide

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

With no annotations, the description carries full burden. It states the tool generates strategies and tools but does not disclose behavioral traits such as side effects (likely none), authorization needs, or output format. Adequate but minimal.

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?

Single sentence that is concise and front-loaded with the main action. No wasted words, though slightly more structure could improve clarity.

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?

For a simple generation tool with 3 parameters and no output schema, the description is fairly complete but lacks detail on the format of the output (e.g., text guide, code snippets) and how it relates to sibling tools. Missing output schema limits 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% and includes clear descriptions for all parameters. The description adds context by mentioning logging, error handling, and testing approaches, but does not significantly enhance understanding beyond the schema.

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?

Description clearly states it generates debugging strategies and tools for GenLayer contracts, mentioning specific areas like logging, error handling, and testing. This differentiates it from siblings like generate_contract_template or generate_testing_framework, though not explicitly.

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?

Implies usage for debugging contracts but provides no explicit guidance on when to use versus alternatives like generate_testing_framework, nor when not to use. Lacks exclusion criteria.

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