chat_with_my_bot

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

Description indicates conversational interaction but does not disclose whether the tool is read-only, requires authentication, or any side effects. With no annotations, the description should provide more behavioral context for safety.

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, 17 words, includes examples with no wasted words. Perfectly concise and front-loaded.

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?

Lacks output description, which is important since there is no output schema. For a chat tool, the response format (text, structured) is unclear. Otherwise, adequate for a simple tool.

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?

Only parameter 'message' is described with examples in the schema. Description adds marginal value since schema coverage is 100% and examples are already in the parameter description. Baseline score 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?

Description clearly states the tool's purpose: asking questions, getting advice, understanding decisions. It uses a specific verb ('ask') and resource ('trading bot'), and the examples distinguish it from sibling tools like get_market_data or get_my_portfolio.

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?

Provides clear use cases with example questions, helping the agent know when to invoke. Lacks explicit 'when not to use', but the context from sibling tools strongly implies this for interactive Q&A rather than data retrieval.

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