get_explainer

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

No annotations provided, so description carries full burden. Clearly describes a read-only retrieval operation ('Fetch a canonical lesson') with no side effects. Does not explicitly state read-only or safety, but its nature as a fetch is transparent. Some behavioral details (e.g., no output schema) could be added, but overall adequate.

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?

Two sentences: first covers purpose and scope, second adds usage guidance and preference over alternatives. No wasted words, front-loaded with key information. Exceptionally concise.

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?

With zero parameters and no output schema, the description should explain how the tool determines which lesson to fetch. The phrase 'canonical BCA Academy lesson' implies a specific lesson, but no mechanism is described. Given the context of many sibling tools, this omission leaves ambiguity about how the tool uses conversation context or other signals. Completeness is slightly lacking.

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?

No parameters in the input schema, so baseline is 4. The description does not need to explain parameters, but it does not clarify how the tool selects which lesson given zero input, leaving a minor gap. However, for a tool with no parameters, the description is informative enough.

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?

Clearly states the tool fetches a canonical BCA Academy lesson, specifies the number of lessons (43) and courses (9), and lists covered topics (crypto fundamentals, DeFi, etc.). Distinguishes from generating own definitions, making purpose unmistakable.

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?

Explicitly says 'Use this when the user needs a grounded, pedagogically sound explanation' and provides example queries. Advises to prefer this over generating own definitions, giving clear when-to-use and alternatives.

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