data_application_dldata_list

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only says 'list', which implies a read operation, but it does not mention pagination behavior, default limits, offset semantics, time-filtering requirements, or what the response looks like. For an 11-parameter data tool, this is a significant gap.

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 precise six-word sentence with no filler, repetition, or unnecessary details. It is front-loaded and easy to parse, and it earns its place without wasting tokens.

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?

Despite full schema coverage, the tool has 11 parameters, no output schema, and no annotations. The description omits important operational context such as conditional requirements, pagination defaults, and the intended retrieval semantics. An agent could invoke it correctly by reading the schema, but the description alone leaves important contextual gaps.

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 describes all 11 parameters with 100% coverage, including filter fields, limit, offset, sort, and time-range parameters. The description adds no parameter-level detail, but the schema already does the heavy lifting, so the baseline 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 action (List) and the resource type (application downlink data records), so an agent can tell it is a read-only listing operation for application downlink data. It distinguishes itself from uplink and network-scoped siblings through the explicit 'application downlink' resource, though it does not explicitly contrast with count variants.

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 versus alternatives such as data_application_dldata_count, data_application_uldata_list, or data_network_dldata_list. The only usage signal is the resource name in the description, and the agent is left to infer the correct context from sibling names and schema alone.

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