Skip to main content
Glama
karbassi

slack-mcp

by karbassi

canvases_access_set

Set access levels (read, write, owner) on a Slack canvas for specific channels or users.

Instructions

Set access level to a canvas for specified entities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idsNoUser IDs to grant the access level to (e.g. ``["U0123"]``).
canvas_idYesEncoded ID of the canvas to set access on (e.g. ``F0123ABC456``).
channel_idsNoChannel IDs to grant the access level to (e.g. ``["C0123"]``).
access_levelYesAccess level granted to the entities — ``read``, ``write``, or ``owner``.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. It only states the action ('Set access level') without detailing behavioral traits such as destructive effects (e.g., overwriting existing permissions), authorization requirements, or rate limits. For a permission-setting tool, this is insufficient.

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?

One sentence of 10 words, no filler. Efficient and front-loaded.

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

Completeness2/5

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

Output schema exists, so return values are covered. However, the description fails to provide critical context for a permission-setting tool: whether setting access overwrites or appends, what happens with conflicting levels, or required permissions. This is a significant gap.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all 4 parameters. The tool description does not add meaning beyond schema; it merely restates 'specified entities'. Baseline 3 is appropriate.

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?

The description uses a specific verb ('Set access level') and identifies the resource ('canvas'). It distinguishes from sibling tools like 'canvases_access_delete' but refers to 'specified entities' vaguely. Schema clarifies entities are users and channels.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives (e.g., 'canvases_access_delete'). No mention of prerequisites or context. Usage is implied but not explained.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/karbassi/slack-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server