executiveChat

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

No annotations provided, and description lacks any behavioral traits (e.g., whether it's read-only, modifies state, or has latency). The description carries full burden but omits crucial context about side effects or 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 with examples, 21 words. No redundant information; front-loaded with identity and examples.

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?

Adequate for a simple one-parameter tool, but lacks output format information (free text, structured?), behavioral traits, and limitations. Missing clarity on whether it aggregates data or directly retrieves it.

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?

The 'question' parameter is described as 'Operational question' in schema, and description adds valuable examples (e.g., 'Why is engineering health low?') that clarify the expected input beyond the schema. Schema coverage is 100%, but description enhances meaning.

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 'Executive Copilot' for natural-language operational questions, with concrete examples ('Why is engineering health low?', 'Summarize today's risks'). Distinct from sibling tools like getEngineeringHealth which return specific data points.

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?

No explicit guidance on when to use this tool vs siblings. While the description implies use for broad queries, it doesn't clarify boundaries like 'for specific metrics use the dedicated tool'.

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