get_activity_insights

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

With no annotations provided, the description carries full burden but only states what the tool does without disclosing behavioral traits. It doesn't mention permissions, rate limits, data freshness, or response format (e.g., JSON structure, error handling). This leaves critical operational details unspecified for a tool that likely involves data retrieval.

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, efficient sentence that front-loads the core purpose. It avoids unnecessary words, but could be slightly more structured (e.g., separating use cases). Overall, it's appropriately sized with no wasted content.

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 no annotations and no output schema, the description is incomplete for a tool that likely returns complex insights. It doesn't explain what 'detailed insights' include (e.g., metrics, graphs), how results are formatted, or any prerequisites (e.g., authentication). For a data analysis tool, this leaves significant gaps in understanding.

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 input schema has 100% description coverage, clearly documenting both parameters. The description adds minimal value by implying the tool can handle either a specific activity ID or a time range, but doesn't provide additional context like format examples or edge cases. Baseline 3 is appropriate as the schema does the heavy lifting.

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 states the tool 'Get detailed insights for a specific activity or recent activities', which provides a clear verb ('Get') and resource ('insights'), but it's vague about what 'insights' entail (e.g., performance metrics, trends) and doesn't distinguish it from siblings like 'get_activity_stats' or 'get_activities'. It avoids tautology but lacks specificity.

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 offers no guidance on when to use this tool versus alternatives. It mentions 'specific activity or recent activities' but doesn't clarify scenarios (e.g., use for deep analysis vs. summary stats) or exclusions, leaving the agent to infer usage without explicit direction.

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