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woofdogtw
by woofdogtw

data_network_uldata_count

Count network uplink data records using filters for network, device, address, profile, and time range. Provides record counts for IoT monitoring and analysis.

Instructions

Get the count of network uplink data records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addrNoFilter by network address.
tendNoEnd time in milliseconds since epoch.
unitYesUnit ID (required for normal users).
deviceNoFilter by device ID.
tfieldNoTime field for filtering: proc or time. Required when using tstart/tend.
tstartNoStart time in milliseconds since epoch.
networkNoFilter by network code.
profileNoFilter by device profile.

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

There are no annotations, so the description bears the full burden of behavioral disclosure. It only states that a count is returned, with no mention of required authentication, the unit requirement for normal users, time-range behavior, aggregation semantics, or what the response contains.

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

Conciseness4/5

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

The description is a single front-loaded sentence with no wasted words. It conveys the core action and resource immediately, though it is terse for a tool with 8 parameters.

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

Completeness2/5

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

Given 8 parameters, no annotations, no output schema, and a large family of sibling data-count tools, the description is too minimal to be complete. It does not explain required-unit behavior, filter semantics, return format, or how this differs from related count/list tools.

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 the baseline is 3 even though the description adds no parameter-specific meaning. The description does not clarify relationships between parameters, such as tstart/tend requiring tfield, but the schema already documents each parameter individually.

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

Purpose4/5

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

The description states a specific verb ('get'), a specific resource ('count of network uplink data records'), and the scope ('network uplink'). It clearly distinguishes from downlink and list tools, though it does not explicitly name sibling alternatives.

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?

No guidance is given on when to use this tool versus alternatives such as data_network_uldata_list, data_network_dldata_count, or data_application_uldata_count. The description merely states what it does, leaving the agent to infer usage context from sibling names.

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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