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

With no annotations provided, the description carries the behavioral burden. It discloses that the tool is a read-only GET returning counts and timestamps, and implies it is lightweight since it precedes the full context pull. It does not mention auth, rate limits, or exact response structure, but for a zero-parameter meta endpoint this is acceptable.

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 sentences with no wasted words. The core return value is front-loaded, the endpoint equivalence adds unambiguous reference, and the usage guidance closes the description efficiently.

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?

For a parameterless metadata endpoint, the description is nearly complete: it covers what is returned, the equivalent endpoint, and when to call it. It could add response format details, but the absence of parameters and the simple nature of the tool make the description adequate.

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 schema has zero parameters, so there is no parameter detail to document. The description's mention of what the endpoint returns covers the only meaningful input question: no configuration is needed.

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 names a specific verb ('Return') and a specific resource ('aicoolies collection counts and freshness timestamps'), so an agent knows exactly what this tool produces. Mentioning the equivalent REST endpoint reinforces the purpose and distinguishes it from context or search tools.

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?

'Use this before pulling the full context payload' gives clear, actionable usage context and implies the intended sequence relative to a heavier sibling like get_catalog_context. It does not explicitly state when not to use it or list alternatives, so it stops one step short of a full 5.

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