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shark-fi

unifi-talk-mcp

by shark-fi

List devices

talk_list_devices
Read-only

List UniFi Talk desk phones and softphones with user, extension, status, SIP registration, last seen, IP, and firmware. Filter by status or kind to find specific devices.

Instructions

Talk desk phones and softphone apps with user, extension, status, SIP registration, last seen, IP, and firmware. A compact view of the devices endpoint; filter by status or kind.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
statusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

The annotations already declare readOnlyHint: true, so the read-only nature is covered. The description adds context about the response content (fields included) and the 'compact view' nature, which is useful. However, it does not disclose pagination, limits, or behavior when filters are omitted, which would be valuable for a list endpoint.

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?

The description is two sentences with no filler. The primary purpose and key attributes are front-loaded, and the filtering capability is mentioned concisely. Every word contributes to understanding the tool's function.

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 there is no output schema, the description should explain the return structure. It lists the fields returned (user, extension, status, SIP registration, last seen, IP, firmware), which is helpful. However, it omits details like pagination, ordering, or how to interpret the 'compact' nature. For a simple list with two optional filters, the description is adequate but not fully complete.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions 'filter by status or kind', which indicates the parameters are filters, but it does not elaborate on default behavior (e.g., if omitted, all devices returned) or the exact meaning of each filter. The enums in the schema provide allowed values, but the description adds minimal semantic value beyond labeling them as filters.

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 clearly states it lists desk phones and softphone apps with specific attributes (user, extension, status, etc.), and mentions filtering. It identifies the resource (devices) and the action (list), making the purpose unambiguous. However, it does not explicitly differentiate from siblings like talk_list_endpoints, relying on the reader to infer the distinction.

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?

The description only mentions that filtering is possible by status or kind, but provides no guidance on when to use this tool versus alternatives such as talk_list_endpoints or talk_list_calls. There is no mention of scenarios, prerequisites, or when this tool is preferred, leaving the agent to guess.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.