Medium Risk

pg_whale_add

Add a Polygon wallet to the PredictionGuard watchlist. Takes an initial baseline snapshot so subsequent pg_whale_scan calls can detect movement. Set alert_threshold_matic to tune sensitivity (default 100 MATIC). Tags are free-form.

Part of the Predictionguard server.

pg_whale_add can modify Predictionguard 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 pg_whale_add to create or modify resources in Predictionguard. 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 pg_whale_add 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 Predictionguard.

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

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

See the full Predictionguard policy for all 41 tools.

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These attack patterns abuse exactly the kind of access pg_whale_add 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 pg_whale_add 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 pg_whale_add tool do? +

Add a Polygon wallet to the PredictionGuard watchlist. Takes an initial baseline snapshot so subsequent pg_whale_scan calls can detect movement. Set alert_threshold_matic to tune sensitivity (default 100 MATIC). Tags are free-form.. It is categorised as a Write tool in the Predictionguard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pg_whale_add? +

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

What risk level is pg_whale_add? +

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

Can I rate-limit pg_whale_add? +

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

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

pg_whale_add is provided by the Predictionguard MCP server (https://feedoracle.io/predictionguard/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Predictionguard tool call.

Deterministic rules across all 41 Predictionguard tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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