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estimate_cost

Get the cost to deploy a token on a given chain before committing

Part of the Token Tool server.

estimate_cost can trigger actions in Token Tool, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke estimate_cost to trigger processes or run actions in Token Tool. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

estimate_cost can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "estimate_cost": {
      "limits": [
        {
          "counter": "estimate_cost_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Token Tool policy for all 11 tools.

Get this rule live on your own Token Tool 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 estimate_cost 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 estimate_cost only ever does what you allow.

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

What does the estimate_cost tool do? +

Get the cost to deploy a token on a given chain before committing. It is categorised as a Execute tool in the Token Tool MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on estimate_cost? +

Register the Token Tool MCP server in PolicyLayer and add a rule for estimate_cost: 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 Token Tool. Nothing to install.

What risk level is estimate_cost? +

estimate_cost is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit estimate_cost? +

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

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

estimate_cost is provided by the Token Tool MCP server (token-tool-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Token Tool tool call.

Deterministic rules across all 11 Token Tool 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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