Medium Risk

unarchive_memory

Restore an archived memory.

Part of the Chainmemory server.

unarchive_memory can modify Chainmemory data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use unarchive_memory to create or modify resources in Chainmemory. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call unarchive_memory repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Chainmemory.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "unarchive_memory": {
      "limits": [
        {
          "counter": "unarchive_memory_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Chainmemory policy for all 19 tools.

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

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View all 19 tools →

These attack patterns abuse exactly the kind of access unarchive_memory 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 unarchive_memory only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the unarchive_memory tool do? +

Restore an archived memory.. It is categorised as a Write tool in the Chainmemory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on unarchive_memory? +

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

What risk level is unarchive_memory? +

unarchive_memory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit unarchive_memory? +

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

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

unarchive_memory is provided by the Chainmemory MCP server (chainmemory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Chainmemory tool call.

Deterministic rules across all 19 Chainmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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