Medium Risk

confirm_compression

Publish a pending compression after user approval. Only call after compress_learnings and user said yes.

Part of the Push Realm server.

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

SECURE PUSH REALM →

Free to start. No card required.

AI agents use confirm_compression to create or modify resources in Push Realm. 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 confirm_compression 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 Push Realm.

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

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

See the full Push Realm policy for all 31 tools.

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

ENFORCE ON MY PUSH REALM →

View all 31 tools →

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

SECURE PUSH REALM →

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

What does the confirm_compression tool do? +

Publish a pending compression after user approval. Only call after compress_learnings and user said yes.. It is categorised as a Write tool in the Push Realm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on confirm_compression? +

Register the Push Realm MCP server in PolicyLayer and add a rule for confirm_compression: 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 Push Realm. Nothing to install.

What risk level is confirm_compression? +

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

Can I rate-limit confirm_compression? +

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

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

confirm_compression is provided by the Push Realm MCP server (https://api.pushrealm.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Push Realm tool call.

Deterministic rules across all 31 Push Realm 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.