Low Risk

kage_cleanup_candidates

Find conservative cleanup candidates from Kage

How to control kage_cleanup_candidates ↓

What kage_cleanup_candidates does on Kage

AI agents call kage_cleanup_candidates to retrieve information from Kage without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why kage_cleanup_candidates needs a policy

The tool finds/identifies cleanup candidates — this is a read/query operation that retrieves candidates for cleanup without performing any deletion or modification itself. The word 'conservative' further suggests it is a cautious, non-destructive identification step. No side effects are implied by the description.

From the tool's definition Find conservative cleanup candidates from Kage

Documented attack patterns abuse exactly the kind of access kage_cleanup_candidates gives an agent:

How to control kage_cleanup_candidates

PolicyLayer is an MCP gateway — it sits between your AI agents and Kage, and nothing reaches the server without passing your rules. This is the rule we recommend for kage_cleanup_candidates:

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

kage_cleanup_candidates is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Kage — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about kage_cleanup_candidates

What does the kage_cleanup_candidates tool do? +

Find conservative cleanup candidates from Kage. It is categorised as a Read tool in the Kage MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on kage_cleanup_candidates? +

Register the Kage MCP server in PolicyLayer and add a rule for kage_cleanup_candidates: 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 Kage. Nothing to install.

What risk level is kage_cleanup_candidates? +

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

Can I rate-limit kage_cleanup_candidates? +

Yes. Add a rate_limit block to the kage_cleanup_candidates 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 kage_cleanup_candidates completely? +

Set action: deny in the PolicyLayer policy for kage_cleanup_candidates. 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 kage_cleanup_candidates? +

kage_cleanup_candidates is provided by the Kage MCP server (@kage-core/kage-graph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kage tool call.

Start from Kage, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

62 Kage tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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