suggestBestPractice

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

No annotations are provided, so the description must fully disclose behavior. It only says 'suggests best practices' without detailing what the agent should expect in return (e.g., list format, interactivity) or whether any side effects exist. This leaves significant transparency gaps.

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 a single, front-loaded sentence that conveys the core purpose without any filler. Every word serves a purpose.

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?

The tool has only three parameters and no output schema, so the description is not required to explain return values. However, it lacks usage disambiguation from sibling tools and behavioral transparency, making it adequate but not complete.

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 description coverage is 100%, so the schema already documents all parameters. The description adds minimal value by mentioning 'pattern' and 'technology' as potential task domains, but it does not elaborate on how currentApproach influences suggestions. Baseline 3 is appropriate.

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 function with a specific verb ('suggests') and resource ('best practices for a specific programming task, pattern, or technology'). This distinguishes it from sibling tools like explainConcept and reviewCode, which focus on explanation and review rather than prescriptive best practices.

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 usage by stating the tool is for best practices on a task, pattern, or technology. However, it does not explicitly mention when to use this tool over alternatives like compareApproaches or generateLearningPath, nor does it provide exclusions or prerequisites.

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