api_features
Get workspace feature flags (undocumented session endpoint).
This record as markdown: /tools/karbassi-slack-mcp/api-features.md
What api_features does on Slack
AI agents call api_features to retrieve information from Slack without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why api_features is rated Low
This tool retrieves configuration or feature flag data from a Slack workspace without modifying it, placing it in the Read category. Severity is medium because: (1) feature flags may reveal internal system configuration, experimental features, or security settings that could inform attack surface mapping; (2) access is via an undocumented endpoint, suggesting it may bypass normal authorization patterns; (3) the…
From the tool's definition Tool name 'api_features' and description state it 'Get[s] workspace feature flags' — a retrieval operation with no modification or deletion. The description characterizes it as an 'undocumented session endpoint', indicating internal/privileged data access.
Attacks that exploit this kind of access
The rule that runs api_features safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Slack, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For api_features, this is the rule to start with:
api_features is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Slack, apply this rule, and every api_features call is checked against it from then on.
Questions about api_features
Get workspace feature flags (undocumented session endpoint). It is categorised as a Read tool in the Slack MCP Server, which means it retrieves data without modifying state.
Register the Slack MCP server in PolicyLayer and add a rule for api_features: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Slack. Nothing to install.
api_features is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the api_features rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for api_features. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
api_features is provided by the Slack MCP server (karbassi/slack-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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