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MiguelTVMS
by MiguelTVMS

getTrafficDistribution

Identify bandwidth consumption by analyzing traffic distribution across protocols and application categories over a specified time range. Discover what is consuming network bandwidth.

Instructions

Get traffic distribution by protocol and application type over a time range. Shows breakdown of traffic by category (video, gaming, web, etc.) helping identify what is consuming bandwidth on the network. start and end are Unix timestamps in seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesEnd of the time range as a Unix timestamp in seconds (e.g. Math.floor(Date.now() / 1000)). Must be paired with start.
startYesStart of the time range as a Unix timestamp in seconds (e.g. Math.floor(Date.now() / 1000) - 3600 for the last hour). Must be paired with end.
siteIdNoSite ID to target. If omitted, uses the default site from OMADA_SITE_ID config. Use listSites to discover available site IDs.
customHeadersNoOptional HTTP headers to include in the Omada API request (e.g. {"X-Custom-Header": "value"}). Rarely needed.
Behavior3/5

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

No annotations are provided, so the description must cover behavioral aspects. It correctly indicates a read operation and what is returned, but does not disclose potential side effects, authentication requirements, or rate limits. Basic transparency is achieved.

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 two sentences long, front-loading the purpose and then adding relevant detail. No superfluous words are present, making it efficient.

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

Completeness3/5

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

Given no output schema, the description explains what is returned (breakdown by category) but lacks detail on data structure (e.g., list vs object, time resolution). It is adequate but not fully complete for a tool with 4 parameters.

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?

The input schema covers 100% of parameters with descriptions. The description adds 'start and end are Unix timestamps in seconds', which reinforces the schema but adds little new meaning. Baseline 3 is appropriate.

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 states the verb 'Get', the resource 'traffic distribution', and explains it shows breakdown by protocol and application type (video, gaming, etc.). This distinguishes it from sibling tools like getClientsDistribution or getDashboardTrafficActivities.

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

Usage Guidelines3/5

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

The description implies usage for identifying bandwidth consumption, but does not explicitly state when not to use it or mention alternative tools. No exclusions or alternative recommendations are provided.

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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