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Muggedadscher

TP-Link Omada MCP server

getTrafficDistribution

Analyze network traffic distribution by protocol and application type to identify bandwidth consumption categories like video, gaming, and web over a specified time range.

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.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only restates the timestamp format already in the schema and does not disclose any behavioral traits (e.g., rate limits, auth requirements, or side effects).

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 concise at three sentences with minimal redundancy. The mention of Unix timestamps is partially redundant with the schema but not overly wasteful.

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 adequately hints at return format (breakdown by category) but lacks details on pagination, error handling, or additional context like siteId behavior beyond the schema.

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 coverage is 100% with each parameter described. The description adds no new semantic meaning beyond what is in the schema, meeting the baseline of 3.

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 tool retrieves traffic distribution by protocol and application type over a time range, with specific categories like video and gaming. It distinguishes from siblings such as getClientsDistribution.

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 bandwidth consumption analysis but provides no explicit guidance on when to use this tool versus alternatives like getClientsDistribution, nor when not to use it.

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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