get_log_statistics

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

Annotations already declare readOnlyHint=true and idempotentHint=true, indicating a safe read operation. The description adds useful scope by specifying the aggregation by topic and severity, but it does not disclose additional behavioral details like time ranges or numeric limits. This aligns with the calibration example where annotations cover safety and the description adds mild context.

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, concise sentence that directly conveys the core function without any extraneous information. It is well-structured and front-loaded, earning full marks.

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?

The tool is simple with one optional parameter and an output schema, so the description need not explain return values. It covers the essential purpose and differentiates from siblings, though it omits potential details like whether counts are time-bounded. Given the low complexity, the description is nearly complete.

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 input schema has one optional 'device' parameter with no description (0% schema coverage), and the description only vaguely references 'the MikroTik device' without explaining the parameter's meaning, default behavior (null), or accepted values. The description fails to adequately compensate for the lack of schema documentation.

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 states the tool 'Gets log entry counts by topic and severity from the MikroTik device,' which specifies a concrete verb and resource and distinguishes it from sibling tools like get_logs, get_logs_by_severity, and get_logs_by_topic by emphasizing aggregated counts rather than raw log entries.

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 implies the tool is for log statistics rather than raw logs, providing clear context for when it should be used. However, it does not explicitly name alternatives or state when not to use them, so it falls short of a 5.

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