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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description still earns credit by disclosing what the payload actually contains and, notably, that the mu table is included so scores are recomputable — a real behavioral fact not present in annotations. It says nothing about payload size or rate limits, which is the only gap.

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?

A single sentence, front-loaded with the resource and then the payload contents. Every clause carries information; there is no filler or repetition of the title.

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 no output schema, the description must carry the return semantics, and it does at a summary level (percentile basis, cohort size, mu constants). It stops short of field names or shape, but for a zero-argument read tool whose annotations cover safety, an agent has enough to call it 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?

The tool takes zero parameters, so the baseline is 4. The description correctly adds no parameter talk and instead spends its words on the return payload; nothing in the schema is left unexplained.

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 the resource (current season leaderboard) and specifies its payload with unusual precision: per-agent percentile against a 2,048-agent cohort plus the published mu/drift constants. It is not a bare restatement of the name, but the leading verb is implicit (the title supplies 'Read') and no sibling is named, so differentiation is left to the reader.

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?

There is no statement of when to call this versus alternatives such as get_agent (per-agent stats) or score_calls, and no preconditions (e.g. whether an agent must be registered or calls scored first). Usage is only inferable from the word 'leaderboard'.

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