Low Risk

ava_get_deployment_status

Poll the current status of a token deployment by its intentId. Use this after ava_deploy_token times out, or to check progress of an ava_create_token_intent flow. Returns: status ('deploying' | 'deployed' | 'failed'), contractAddress and explorer links when deployed, errorMessage on failure. Poll...

Risk signalsHandles credentials or secrets (apiKey) · Bulk/mass operation — affects multiple targets

Part of the Ava Genesis server.

ava_get_deployment_status is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call ava_get_deployment_status to retrieve information from Ava Genesis without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though ava_get_deployment_status only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ava_get_deployment_status": {}
  }
}

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the ava_get_deployment_status tool do? +

Poll the current status of a token deployment by its intentId. Use this after ava_deploy_token times out, or to check progress of an ava_create_token_intent flow. Returns: status ('deploying' | 'deployed' | 'failed'), contractAddress and explorer links when deployed, errorMessage on failure. Poll every 5-10 seconds. Most deployments complete within 60 seconds. Possible errors: insufficient fee sent, gas spike, RPC timeout — check errorMessage field.. It is categorised as a Read tool in the Ava Genesis MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ava_get_deployment_status? +

Register the Ava Genesis MCP server in PolicyLayer and add a rule for ava_get_deployment_status: 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_get_deployment_status? +

ava_get_deployment_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ava_get_deployment_status? +

Yes. Add a rate_limit block to the ava_get_deployment_status 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_get_deployment_status completely? +

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

ava_get_deployment_status 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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