monitor_data_count

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says '조회한다' (queries), which is a read operation, but it does not explain scope, whether the result is global or site-specific, whether data is cached, or what aggregation window is used. Beyond the basic read implication, no useful behavioral context is added.

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 compact sentence with no filler or redundant clauses. It is front-loaded with the action and object, which is appropriate for such a simple no-parameter tool.

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?

With no annotations, no output schema, and no parameter constraints, the description still leaves important ambiguity: what exactly is counted, over what time period, and for which scope? Because sibling tools like stat_collection_rate and data_recent overlap conceptually, more context is needed for reliable selection and interpretation of the result.

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 tool has zero parameters and the schema is vacuous, so there is no parameter detail for the description to add. The schema already covers 100% of the parameter space, and the baseline of 4 applies for a no-parameter tool.

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 states a specific verb ('조회한다' / retrieves) and a specific resource ('데이터 수집 건수 집계' / data collection count aggregation), so an agent can tell this is a count-query tool. It does not explicitly contrast it with siblings such as stat_collection_rate or data_recent, so it is clear but not fully differentiated.

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 given about when to use this tool rather than a sibling like data_recent, stat_collection_rate, or monitor_device_state. There are no stated alternatives, exclusions, or conditions that would help an agent decide between similar monitoring tools.

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