ncloud_get_log_count_total

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

The annotations already mark the tool as readOnlyHint: true. The description adds 'total collected log count' but does not explain what 'total' means (e.g., all logs ever? only within a time range?). For a read operation, the description adds little beyond the annotation.

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 with no wasted words. While it lacks structure (e.g., no separate sections), its brevity is acceptable for a simple tool. Front-loading is good as the main purpose is stated first.

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 tool has one optional parameter, no output schema, and many sibling tools, the description is incomplete. It does not explain what the tool returns (e.g., a number? a JSON object?), nor does it clarify the meaning of 'total' or the default behavior for regionCode. This lack of detail reduces contextual completeness.

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 100% description coverage for the single parameter (regionCode). However, the tool description does not mention this parameter or its effect. With high schema coverage, the description adds no additional meaning, so the baseline score of 3 is appropriate.

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 retrieves the total collected log count in Cloud Log Analytics. It uses a specific verb and resource, and the name helps differentiate from similar tools like get_log_count_recent or get_log_count_by_period, though it does not explicitly mention these alternatives.

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 is provided on when to use this tool versus the other log count tools. The description does not mention that total implies an all-time aggregate or that regionCode is optional. This lack of context makes it harder for the AI to select the right tool.

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