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

Beyond the read-only and idempotent annotations, the description discloses the counting rules that materially affect interpretation: one account counts once on its first settled call, voided markets never count, and Kellian-operated accounts are excluded by identity rather than name. These are substantive behavioral and domain constraints that the annotations do not provide.

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 one dense sentence but front-loads the resource and keeps every clause relevant to the counter, methodology, or exclusions. It could be split for readability, but there is little wasted wording.

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?

With an output schema present, the description does not need to explain return values, and with zero parameters it does not need input guidance. It supplies the domain rules and exclusions necessary to interpret the counter correctly, making it complete for this tool's complexity.

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 tool has zero input parameters, so there are no parameter semantics to explain and the baseline of 4 applies. The description adds no contradictory or unnecessary parameter information.

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 resource, the public launch counter, and precisely enumerates what it reports: settled calls in the season opening window, the methodology version, and signup grants held for review. This is far more than a tautology and gives an agent a distinct semantic identity among the many sibling 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?

Usage is implied by the explicit data content: an agent needing the public launch count, its methodology, or pending signup-grant review counts can identify this tool. However, there is no explicit when-to-use statement, no exclusions, and no named alternative or sibling to route against.

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