Medium Risk

pot_checkpoint

Create a compressed rollup checkpoint of workflow history. Call this periodically to prevent token explosion when recovering from context compression. Returns checkpointId, compressed event history, chainIntact status, and nextCheckpointHint (recommended events before next checkpoint).

Part of the Ttt server.

pot_checkpoint can modify Ttt 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 pot_checkpoint to create or modify resources in Ttt. 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 pot_checkpoint 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 Ttt.

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

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

See the full Ttt policy for all 7 tools.

Get this rule live on your own Ttt 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 pot_checkpoint 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 pot_checkpoint 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 pot_checkpoint tool do? +

Create a compressed rollup checkpoint of workflow history. Call this periodically to prevent token explosion when recovering from context compression. Returns checkpointId, compressed event history, chainIntact status, and nextCheckpointHint (recommended events before next checkpoint).. It is categorised as a Write tool in the Ttt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pot_checkpoint? +

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

What risk level is pot_checkpoint? +

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

Can I rate-limit pot_checkpoint? +

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

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

pot_checkpoint is provided by the Ttt MCP server (@helm-protocol/ttt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ttt tool call.

Deterministic rules across all 7 Ttt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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