data_application_dldata_count

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

With no annotations available, the description bears the full burden of disclosing behavior beyond the schema. It only states the operation and resource without mentioning return value format, pagination, time-range handling, or required field dependencies like tfield with tstart/tend. This leaves significant behavioral ambiguity.

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, well-structured sentence that conveys the essential purpose without any redundant words. It is appropriately sized for a simple counting operation.

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 eight parameters, no output schema, and no annotations, this one-sentence description is too thin to provide complete guidance. It does not explain how the count is calculated, the meaning of filters, or any constraints such as required parameters for specific user roles.

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 already provides 100% parameter descriptions, covering all eight parameters. The description adds no additional semantic value on top of the schema, so the baseline score of 3 applies.

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 action (get count), the resource (application downlink data records), and the operation type (count). It distinguishes itself from sibling tools like data_application_dldata_list and data_application_uldata_count by specifying 'count' and 'downlink'.

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 provides no guidance on when to use this tool versus alternatives such as the list variant or the uplink count. No mention of intended use cases, typical workflows, or exclusion conditions is present.

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