handle_click

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

No annotations provided, so description carries full burden. It implies read-only analysis but does not disclose state changes, authentication needs, or side effects. The term 'returns insights' suggests a safe operation, but details are lacking.

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?

Description is concise (three sentences) and front-loaded with the main action. Every sentence adds value: purpose, usage scenario, and bidirectional communication benefit.

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 presence of an output schema, return values are covered. The description explains the tool's role in the AI-user interaction loop. Lacks some behavioral details but is sufficient for the tool's apparent simplicity.

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%, baseline 3. Description adds context about analyzing the clicked point but does not elaborate on parameter meanings beyond what the schema already describes.

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 processes click events on charts and returns AI-friendly insights. It specifies the verb 'process' and resource 'click event' and implicitly distinguishes from siblings like describe_plot or analyze_data by focusing on click interaction.

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 states when to use: when a user clicks a data point in a visualization. Provides context for bidirectional communication. Does not explicitly state when not to use or name alternatives, but the usage scenario is clear.

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