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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds real behavioral value by disclosing the document's scope, including that it covers grading standards and stated limits, which tells the agent what answers it can obtain here.

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 front-loaded sentence fragment with a dense, scannable content list and no filler. Every clause names a distinct topic the document covers.

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 zero-argument static reference tool with full annotations and no output schema, the description is essentially complete. The only minor omission is noting the return form (e.g., document text), which is easily inferred.

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 properties, so there is nothing to document and the baseline of 4 applies. The description correctly implies a parameterless, fetch-the-whole-document call.

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?

States a specific resource (benchmark methodology) and enumerates exactly what it covers: query design, run count, latency timing, SimpleQA/FreshQA grading, metrics, and limits. That distinguishes it from data-returning siblings like get_scorecard or get_overall_results, though it never names those siblings explicitly.

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 only implied by the content inventory — an agent can infer it should call this to understand how scores were produced or what a metric means. It never says when to prefer this over how_to_run_locally or the scorecard tools, nor any exclusions.

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