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

No annotations provided, so the description is the sole source. It implies a read-only query by describing distinct agents active over windows, but does not disclose data update frequency, authentication needs, or potential side effects. Adequate but not rich.

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 using metaphor, economical with words. However, the metaphor might slightly obscure clarity. No wasted content.

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 no parameters, no output schema, and no annotations, the description explains the core metrics but omits output format (e.g., numbers, data structure). Sufficient for basic understanding but lacks precision.

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?

No parameters exist, so the description need not add param info. Baseline 4 per 0-param rule. No param details are missing.

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 uses a 'speedometer' metaphor to indicate it measures active AI agents on Base in live 24h/72h windows versus cumulative count. It clearly states the resource and scope, but doesn't explicitly differentiate from sibling tools like 'index_stats' or 'real_agent_index'.

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?

No guidance on when to use this tool versus alternatives. It only describes what it returns, leaving the agent to infer appropriate contexts without comparison to sibling tools.

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