track_cohort_over_time

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

No annotations provided, and the description does not disclose any behavioral traits (e.g., read-only, output format, side effects). The description fails to inform the agent about important safety or usage constraints.

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?

Extremely short (one sentence) but lacks essential details. It is front-loaded but too terse to be useful. Every sentence does not earn its place because it omits critical information.

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 4 parameters (including a nested object), no output schema, and no annotations, the description is severely incomplete. It fails to explain what 'evolution' means, how to construct the cohort, or what data is returned.

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?

0% schema description coverage; the description adds no meaning to any parameter. The 'cohort' object is vague, and dates are unexplained. The description does not clarify how parameters relate to the tool's function.

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 says 'See how a cohort's feedback evolves', which indicates monitoring feedback over time but uses vague verb 'see'. Distinguishes from sibling 'compare_cohorts' (comparison) and 'track_pattern_trends' (trends across patterns), but is less specific than it could be.

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 guidance on when to use this tool versus alternatives. No context for prerequisites or exclusions. Only implies evolution over time.

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