Medium Risk

ava_simulate_token

Validate a token configuration and get a fee estimate without spending gas or deploying anything. Use this before ava_deploy_token or ava_create_token_intent to confirm the config is valid and see the exact ETH cost. Returns: estimated fee in ETH and USD, resolved feature flags, tier (Starter/Bas...

Risk signalsHandles credentials or secrets (apiKey) · Accepts raw HTML/template content (template) · High parameter count (15 properties)

Part of the Ava Genesis server.

ava_simulate_token can modify Ava Genesis 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 ava_simulate_token to create or modify resources in Ava Genesis. 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 ava_simulate_token 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 Ava Genesis.

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

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

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

Validate a token configuration and get a fee estimate without spending gas or deploying anything. Use this before ava_deploy_token or ava_create_token_intent to confirm the config is valid and see the exact ETH cost. Returns: estimated fee in ETH and USD, resolved feature flags, tier (Starter/Basic/Premium), and any validation errors. Does not create an intent or charge any fee.. It is categorised as a Write tool in the Ava Genesis MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ava_simulate_token? +

Register the Ava Genesis MCP server in PolicyLayer and add a rule for ava_simulate_token: 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 Ava Genesis. Nothing to install.

What risk level is ava_simulate_token? +

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

Can I rate-limit ava_simulate_token? +

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

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

ava_simulate_token is provided by the Ava Genesis MCP server (https://avagenesis.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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