High Risk →

app_logs

Query recent logs for an app — errors, warnings, SDK calls, build info. Requires authentication (app owner).

Part of the Mcp server.

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

SECURE MCP →

Free to start. No card required.

AI agents invoke app_logs to trigger processes or run actions in Mcp. 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.

app_logs 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": {
    "app_logs": {
      "limits": [
        {
          "counter": "app_logs_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Mcp policy for all 12 tools.

Get this rule live on your own Mcp server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY MCP →

View all 12 tools →

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

SECURE MCP →

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

What does the app_logs tool do? +

Query recent logs for an app — errors, warnings, SDK calls, build info. Requires authentication (app owner).. It is categorised as a Execute tool in the Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on app_logs? +

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

What risk level is app_logs? +

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

Can I rate-limit app_logs? +

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

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

app_logs is provided by the MCP server (https://mcp.freeappstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp tool call.

Deterministic rules across all 12 Mcp 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.