Low Risk

kage_context_slots

List repo-local pinned context slots. Pinned slots are small, reviewable facts that Kage includes in recall/context before task-specific memory.

How to control kage_context_slots ↓

What kage_context_slots does on Kage

AI agents call kage_context_slots 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_context_slots needs a policy

This tool retrieves and displays configuration data (pinned context slots) from a Kage memory system. No data is created, modified, deleted, or executed. The blast radius of misuse is minimal — an agent could see more context than intended, but cannot alter memory or trigger external operations. This fits the 'Read' category as a query/list operation.

From the tool's definition The tool 'lists' repo-local pinned context slots and 'includes in recall/context' — these are read/retrieval operations with no modification, creation, or side effects.

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

How to control kage_context_slots

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_context_slots:

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

kage_context_slots 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_context_slots

What does the kage_context_slots tool do? +

List repo-local pinned context slots. Pinned slots are small, reviewable facts that Kage includes in recall/context before task-specific memory. 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_context_slots? +

Register the Kage MCP server in PolicyLayer and add a rule for kage_context_slots: 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_context_slots? +

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

Can I rate-limit kage_context_slots? +

Yes. Add a rate_limit block to the kage_context_slots 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_context_slots completely? +

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

kage_context_slots 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.

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

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