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list_channels

Lists Slack workspace channels, optionally filtering by name substring or channel type, so you can find the right conversation or target for messages.

Instructions

List channels in a workspace, optionally filtered by a name substring.

Args: workspace: configured workspace name. name_filter: case-insensitive substring to match channel names (empty = all). types: comma-separated: public_channel, private_channel, mpim, im. limit: max channels to return after filtering (1-1000).

Input Schema

NameRequiredDescriptionDefault
limitNo
typesNopublic_channel,private_channel
workspaceYes
name_filterNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. 'List' strongly implies a read-only operation and the filtering/limit semantics are disclosed, but permission requirements, rate limits, and pagination behavior are not addressed.

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 front-loaded with the core action and then gives compact parameter notes. Every sentence and argument line adds useful information without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described. The description covers the purpose and all four parameters, but leaves some operational context unstated, such as permissions or what happens when more channels match than the limit.

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

Parameters4/5

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 usefully defines all four parameters: workspace, name_filter case-insensitive substring semantics, allowed types values, and the 1-1000 limit range, though it omits the schema defaults.

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?

States a specific verb and resource: list channels in a workspace, with optional name filtering. Clear enough to distinguish from list_workspaces and read_channel, though it does not explicitly route agents away from those siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool by explaining optional filtering and type selection, but it gives no explicit when-not guidance or comparison to alternatives like read_channel or search_messages.

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