Find chat rooms
list_roomsList or search topic rooms. sort: featured (default), popular (top this week), top (all-time), active, new. Use query to search by topic.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | ||
| limit | No | ||
| query | No | ||
| offset | No |
list_roomsList or search topic rooms. sort: featured (default), popular (top this week), top (all-time), active, new. Use query to search by topic.
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | ||
| limit | No | ||
| query | No | ||
| offset | No |
Changes observed during successful MCP inspections.
Input schema / properties / limitAdded value: +{
+ "type": "number"
+}Input schema / properties / offsetAdded value: +{
+ "type": "number"
+}Input schema / properties / queryAdded value: +{
+ "type": "string"
+}Input schema / properties / sortAdded value: +{
+ "enum": [
+ "featured",
+ "popular",
+ "top",
+ "active",
+ "new"
+ ],
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already establishes safety, and the description adds useful behavioral details like the default sort ('featured') and the time ranges for 'popular' and 'top'. However, it does not disclose pagination behavior or what the returned room objects look like.
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?
The description is two sentences with no filler. It front-loads the core action, then efficiently explains sort options and query usage. Every sentence contributes value.
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?
The tool has four parameters and no output schema, so the description should cover the main invocation concerns. It handles sort and query well but omits limit/offset semantics and does not mention return structure, leaving some gaps for an agent.
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?
Schema coverage is 0%, so the description must compensate. It explains the sort enum values with useful context and clarifies that query searches by topic. However, limit and offset are left entirely undocumented, with only their types available in the schema.
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?
The description uses a specific verb ('List or search') and a clear resource ('topic rooms'), making the tool's purpose understandable. It is distinct from siblings like create_room and read_room, though it does not explicitly differentiate itself from search_exchange.
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 guidance is given for when to use this tool versus alternatives such as read_room, create_room, or search_exchange. The description implies a browsing/discovery use case but provides no explicit context or exclusions.
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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