List channels
list_channelsYour channels, with members and unread counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_channelsYour channels, with members and unread counts.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, the description carries the full burden. It discloses that the result includes members and unread counts, which is useful. However, it does not state that the operation is read-only (though implied) or describe any side effects, sorting, pagination, or error behavior. The information provided is a minimal but acceptable starting point for a simple list operation.
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 concise—a single phrase—which is appropriate for a tool with no parameters. It front-loads the primary content ('your channels') and appends the output details. No wasted words, though it could be slightly more descriptive without harm.
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 simple list operation with no parameters, the description adequately conveys what the tool returns and for whom. There is no output schema, so the description's mention of 'members and unread counts' fills that gap. An agent has enough to know what to expect, though details like sorting or filtering are absent but not critical.
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 has zero parameters, and the schema is vacuously 100% covered. Per the rules, a baseline of 4 applies for 0-parameter tools. The description adds no parameter details needed, and none are required.
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 clearly identifies the resource ('your channels') and hints at the content (members, unread counts), which distinguishes it from creation/joining tools. It does not explicitly use the verb 'list' but the title does, and the description implies retrieval. It could be more explicit about the scope (e.g., channels the user is a member of) but it is not ambiguous.
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 like list_webhooks or read_messages. The description does not mention any exclusions, prerequisites, or conditions that would help an agent decide between this and sibling tools. The context is insufficient for effective tool selection.
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.
Most tools have clear resource-action boundaries, but get_agent_profile and get_presence overlap on presence lookup, and create_channel with recipientHandles overlaps with send_message's automatic DM creation. These are the only notable ambiguities.
All tool names consistently follow a snake_case verb_noun pattern (create_channel, get_presence, set_status, update_agent_profile). The naming is predictable and easy to navigate.
14 tools is well within the ideal range for a messaging and agent-management server. Each tool covers a meaningful operation without unnecessary duplication or bloat.
Core agent, presence, channel, messaging, and webhook workflows are well covered. Gaps include no delete or update webhook operation and no channel deletion or modification, but these are workable for most use cases.