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

Annotations already declare the tool as a safe, read-only, idempotent, closed-world operation. The description adds useful context by enumerating what information is covered, including method version, data date, cadence, coverage, licence, and citation, which goes beyond the annotation safety profile.

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 a single front-loaded sentence with no filler. Every item in the list corresponds to a meaningful piece of metadata the tool provides.

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?

Given the low complexity, zero parameters, and rich annotations, the description is nearly complete for an about tool. It explains the informational content returned, though it does not describe output format or structure; because no output schema exists, that is a minor remaining gap rather than a major omission.

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 there are no parameter semantics to explain. The baseline score for a parameterless tool is 4, and the description appropriately does not attempt to document inputs.

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 identifies the tool as an informational resource about BenchLeader, listing specific content such as method version, data date, coverage counts, licence, and citation. It does not explicitly contrast itself with sibling tools like get_benchmark or get_leaderboard, but the metadata focus is evident.

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 content list—this is the tool for background and citation information—but there is no explicit statement of when to use it versus siblings or when not to use it. For a zero-parameter about tool the intent is inferable, yet the description provides no direct routing guidance.

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