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owine

UniFi Protect MCP

by owine

protect_list_cameras

Read-only

Retrieve a list of all UniFi Protect cameras with configuration details such as connection state, video mode, feature flags, and smart detection settings.

Instructions

List all cameras managed by UniFi Protect. Returns array; each camera includes (Integration API 7.1.60-verified fields): id, mac, name, modelKey, state (CONNECTED/DISCONNECTED), activePatrolSlot, hasPackageCamera, hdrType, isMicEnabled, micVolume, videoMode, featureFlags (hasHdr, hasMic, hasSpeaker, hasLedStatus, smartDetectTypes[], smartDetectAudioTypes[], videoModes[], supportFullHdSnapshot), lcdMessage, ledSettings (isEnabled, floodLed, welcomeLed), osdSettings (isNameEnabled, isDateEnabled, isLogoEnabled, isDebugEnabled, overlayLocation), smartDetectSettings (objectTypes[], audioTypes[]). The Integration API does NOT expose recording state, motion timestamps, connection/last-seen, firmware, host, or per-channel stream config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesArray of items returned by the list endpoint
Behavior5/5

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

Annotations declare read-only and non-destructive behavior. The description adds significant transparency by listing all returned fields and explicitly stating what is not exposed (e.g., recording state, motion timestamps), exceeding annotation coverage.

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, well-structured paragraph. Every sentence adds value, but it is somewhat lengthy. Still, it remains efficient and front-loaded with the core action.

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

Completeness5/5

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

Given the zero-parameter input and presence of an output schema, the description is fully complete. It details all returned fields and explicitly notes limitations, leaving no significant gaps.

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

Parameters5/5

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

No parameters exist, so baseline is 4. The description compensates by thoroughly documenting the output structure and field semantics, providing value beyond the schema.

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 lists all cameras managed by UniFi Protect, using a specific verb and resource. It distinguishes itself from siblings like protect_get_camera and other list tools.

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

Usage Guidelines4/5

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

The description implicitly indicates use when needing all cameras and their details, but lacks explicit when-to-use or alternatives guidance. However, the sibling tools context and clear purpose make it adequate.

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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