Low Risk

user_ids

Array of user IDs (required, max 100)

Part of the Slack Explorer MCP server.

user_ids is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call user_ids to retrieve information from Slack Explorer MCP without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though user_ids only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "user_ids": {}
  }
}

See the full Slack Explorer MCP policy for all 20 tools.

Get this rule live on your own Slack Explorer MCP server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access user_ids gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so user_ids only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the user_ids tool do? +

Array of user IDs (required, max 100). It is categorised as a Read tool in the Slack Explorer MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on user_ids? +

Register the Slack Explorer MCP server in PolicyLayer and add a rule for user_ids: 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 Explorer MCP. Nothing to install.

What risk level is user_ids? +

user_ids is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit user_ids? +

Yes. Add a rate_limit block to the user_ids 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.

How do I block user_ids completely? +

Set action: deny in the PolicyLayer policy for user_ids. 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.

What MCP server provides user_ids? +

user_ids is provided by the Slack Explorer MCP server (oci:ghcr.io/shibayu36/slack-explorer-mcp:0.12.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Slack Explorer MCP tool call.

Deterministic rules across all 20 Slack Explorer MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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