atlas_cohorts

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

Discloses the methodology (Dynamic Time Warping on time series), which is useful behavioral context beyond the name. However, no annotations exist, and the description omits details about permission requirements, side effects, or what happens on execution.

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?

Two efficient sentences that front-load the core concept and include a usage directive. No wasted words.

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?

Adequately explains what the tool does and its purpose, but without an output schema, it should describe the return format (e.g., cluster assignments). Missing this context for a clustering 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?

No parameters exist, so schema coverage is 100% by default. According to guidelines, baseline is 4. The description adds no parameter info but doesn't need to.

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 clearly states it provides country clusters based on Dynamic Time Warping of blocking-rate time series, with a specific verb-resource combination. It distinguishes from many siblings but does not explicitly contrast with similar tools like atlas_country_similarity.

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 says to use it to identify countries with similar behavior during shutdowns or sustained blocking. Provides clear context but does not mention when not to use or alternative tools.

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