Low Risk

url_scanner_async_task_result

Retrieve the result of an asynchronous scan task. If completed, returns the full scan result (risk_score, confidence, agent_access_directive, etc.). If still running, returns status with retry_after_ms — call again after that interval. Non-blocking.

Part of the URL security scanner to protect AI agent workflows MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call url_scanner_async_task_result to retrieve information from URL security scanner to protect AI agent workflows 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 url_scanner_async_task_result 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.

cybrlab-ai-urlcheck-mcp.yaml
tools:
  url_scanner_async_task_result:
    rules:
      - action: allow

See the full URL security scanner to protect AI agent workflows policy for all 6 tools.

Tool Name url_scanner_async_task_result
Category Read
Risk Level Low

Agents calling read-class tools like url_scanner_async_task_result have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the url_scanner_async_task_result tool do? +

Retrieve the result of an asynchronous scan task. If completed, returns the full scan result (risk_score, confidence, agent_access_directive, etc.). If still running, returns status with retry_after_ms — call again after that interval. Non-blocking.. It is categorised as a Read tool in the URL security scanner to protect AI agent workflows MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on url_scanner_async_task_result? +

Add a rule in your Intercept YAML policy under the tools section for url_scanner_async_task_result. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the URL security scanner to protect AI agent workflows MCP server.

What risk level is url_scanner_async_task_result? +

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

Can I rate-limit url_scanner_async_task_result? +

Yes. Add a rate_limit block to the url_scanner_async_task_result rule in your Intercept 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 url_scanner_async_task_result completely? +

Set action: deny in the Intercept policy for url_scanner_async_task_result. 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 url_scanner_async_task_result? +

url_scanner_async_task_result is provided by the URL security scanner to protect AI agent workflows MCP server (cybrlab-ai/urlcheck-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on URL security scanner to protect AI agent workflows

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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