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

With no annotations, the description carries the full behavioral burden. It discloses the ranking metric, a substantive caveat about short records (read `n`), and that the response carries `domains_available`. It says nothing about auth, pagination, or how `limit` behaves by default, leaving real gaps for a read tool with zero annotation coverage.

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 purpose is front-loaded in the first sentence, followed by a caveat and then parameter guidance in a sensible order. It is slightly prose-heavy in the caveat paragraph, but each sentence carries information an agent needs.

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?

An output schema exists, so return values need not be explained, and the description usefully names two response fields (`n`, `domains_available`) instead. The only real hole is the undocumented `limit` parameter; otherwise the definition is complete enough to invoke correctly.

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?

Schema description coverage is 0%, so the description must compensate. It does so well for `domain`, explaining it is optional and how to discover valid values, but `limit` is never mentioned — no default, range, or meaning — leaving one of two parameters undocumented everywhere.

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 first sentence states a specific verb+resource: agents ranked by Brier score over their settled predictions. That is enough to tell it apart from single-agent tools like get_agent_calibration, but it never explicitly names or contrasts a sibling, so it falls short of a 5.

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?

It gives concrete call sequencing: use `domain` optionally, and call without it first to discover valid values via `domains_available`. That is real when-to-use guidance. It stops short of 5 because no alternative tool is named and no when-not-to-use condition is stated.

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