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Glama

getDashboardOverview

Read-only

Retrieve a site topology overview with device and client counts, connectivity graph, and health status to quickly understand what is in the network before managing it.

Instructions

Get the site overview topology: device counts (gateways, switches, APs), client counts (wired, wireless, guest), connectivity graph, and overall health status. Good first call to understand what's in the network.

Input Schema

NameRequiredDescriptionDefault
siteIdNoSite ID to target. If omitted, uses the default site from OMADA_SITE_ID config. Use listSites to discover available site IDs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.19.0-rc.1

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered by structured data. The description's main addition is the return payload contents, which is useful since no output schema exists. It does not disclose whether counts are live or cached, how large the connectivity graph is, or whether it is expensive/slow to call — behavioral details that would help an agent decide placement in a call sequence.

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?

Two sentences, zero filler. The substantive content (what the overview contains) comes first, with the usage hint trailing. Nothing is redundant with the title or annotations.

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?

With no output schema and a single optional parameter, the description carries the burden of telling the agent what comes back, and it does so concretely across four categories. The only shortfall is that it doesn't frame itself relative to the dense cluster of sibling dashboard and health tools, which is the main ambiguity an agent faces here.

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% — the siteId field already documents its pattern, the OMADA_SITE_ID default fallback, and the pointer to listSites. The description adds nothing about parameters, which is acceptable given full schema coverage but earns only the baseline.

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?

Uses a specific verb ('Get') plus a concrete resource ('site overview topology') and then enumerates exactly what is included: device counts by type, client counts by type, connectivity graph, health status. That enumeration distinguishes it from narrow siblings like getDashboardWifiSummary or getDashboardSwitchSummary. It stops short of naming those siblings explicitly, so it's clear but not fully differentiated.

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 sentence 'Good first call to understand what's in the network' gives a genuine usage cue (entry point / orientation), which is better than nothing. However, it never states when NOT to use it, nor does it route to the many sibling dashboard summaries (getNetworkHealthSummary, getDashboardTrafficActivities, getDashboardPoEUsage) for deeper drill-down. An agent must infer the boundary from tool names alone.

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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