List Rooms
list_roomsList this user's Sonos rooms and current groups (cloud topology).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_roomsList this user's Sonos rooms and current groups (cloud topology).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint, so safety is covered. The description adds the 'cloud topology' qualifier, hinting the data source is cloud state rather than local devices, which is modest but real context beyond the annotations. It does not describe staleness or refresh behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no waste; every phrase (user scope, rooms, groups, cloud topology) carries meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-param list tool with no output schema, the description should ideally sketch the return shape (room identifiers, group membership structure). It names what is returned ('rooms and current groups') but not the fields or format, leaving a gap since no output schema exists to compensate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics to document. Baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (list) and resource (this user's Sonos rooms and current groups), plus scope via 'cloud topology'. It is distinguishable from mutation siblings like group_rooms/ungroup_room by its read nature, though it never names those alternatives explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use or when-not context, and no alternatives are named. The agent must infer from the verb that this is the read path versus group_rooms/ungroup_room, with no explicit routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.