nolag_update_room
Update a room
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | New room name | |
| appId | Yes | App ID | |
| roomId | Yes | Room ID | |
| isEnabled | No | Whether the room is enabled | |
| description | No | New room description |
Update a room
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | New room name | |
| appId | Yes | App ID | |
| roomId | Yes | Room ID | |
| isEnabled | No | Whether the room is enabled | |
| description | No | New room description |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior. It only says 'Update a room' and fails to mention whether updates are partial or full replacements, what happens to unspecified fields, idempotency, permissions, or side effects. This is a major gap for a mutation tool.
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 extremely terse ('Update a room'), which is not the same as being appropriately concise. It under-specifies the tool's functionality and would benefit from at least one more sentence outlining the updatable attributes. It is not a waste of words, but it is under-dimensional.
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 5 parameters, no output schema, and no annotations. The description provides no context about return values, error conditions, or update semantics (e.g., PUT vs PATCH behavior). This makes it inadequate for an agent to fully understand the tool's effects and expectations.
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 description coverage is 100% — each of the 5 parameters has a meaningful description ('New room name', 'New room description', 'Whether the room is enabled', etc.). The tool description itself adds nothing about parameters, but that is acceptable given the schema's completeness. Baseline 3 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?
The description states a clear verb+resource: 'Update a room'. This distinguishes it from other tools like nolag_create_room, nolag_get_room, and nolag_delete_room. However, it does not specify which fields can be updated or provide any additional scope, so it misses the top score.
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?
There is no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as the room needing to exist, nor does it contrast with create or delete room operations. The context of sibling tools implies usage but the description itself provides no explicit direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.