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woofdogtw
by woofdogtw

dldata_buffer_count

Count buffered downlink data items waiting for delivery to devices. Provide a unit ID to retrieve the pending queue size, with optional filters for device, network, or application.

Instructions

Get the count of buffered downlink data items waiting to be sent to devices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitYesUnit ID (required for normal users).
deviceNoFilter by device ID.
networkNoFilter by network ID.
applicationNoFilter by application ID.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

There are no annotations, so the description carries the behavioral disclosure burden. 'Get the count' makes clear this is a read-only, non-destructive operation, and 'waiting to be sent' clarifies the state of the data. However, it does not describe the response format, filter combination semantics, or whether permissions are required beyond the schema's mention of 'normal users'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence that front-loads the action and resource. It contains no filler or redundant information and is easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple count operation with fully documented parameters and no nested objects, the description is nearly complete. The only notable gap is that no output schema is provided and the description does not state the exact return shape, though 'count' reasonably implies a numeric result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are already fully documented. The description adds no extra meaning about how unit, device, network, and application filters relate to the count, giving it the baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the action ('get the count') and the specific resource ('buffered downlink data items waiting to be sent to devices'). This distinguishes it from sibling tools like dldata_buffer_list and dldata_buffer_delete, which perform different operations on the same resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this is the count counterpart to dldata_buffer_list, but it does not explicitly state when to use this tool versus alternatives. No mention is made of when list/delete or the other data count tools would be more appropriate.

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

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