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

The description adds behavioral facts beyond the annotations: the tool requires no prior call, only aggregates (no per-line diagnostics), and can consume a shell-pipeline `uniq -c` table. The example ('412 GPTBot/1.2' returns OpenAI, 412 requests, 100%, ai-training) is a behavioral mini-spec. Annotations already mark it read-only, idempotent, non-destructive, and the description matches.

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 compact and information-dense: it states the call prerequisite, the aggregate scope, the accepted input shape, and gives a concrete example in three sentences. The embedded JSON-RPC invocation is somewhat noisy but is genuinely useful for a FIRST CALL instruction.

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 one-parameter aggregation tool, the description covers purpose, input shape, and a worked example. With read-only annotations and no output schema, it lacks detail on the exact output format, but the example supplies enough for a correct call.

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 coverage is 100% and the description also tells the agent the parameter accepts raw log text or a `uniq -c` user-agent table, so the meaning of the parameter is clear. It does not add format details such as delimiters or line separation, so it adds modest value beyond the schema.

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 is explicit about the verb and resource: it rolls up a log by operator and category, producing request counts, shares, category, and blocking costs. The title reinforces the same, and the short example makes the function of the tool unambiguous.

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?

The description states it is a FIRST CALL that needs nothing, and distinguishes it from more general triage by saying 'Aggregate only' and showing it accepts a `uniq -c` table; this tells an agent when to choose it for aggregate analytics. It does not explicitly name alternatives, but the 'Aggregate only' and 'Eats a uniq -c table' framing implicitly differentiates it from log-triage siblings.

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