Collect runtime logs, prioritizing the SQLite database and frida.log.
AI agents call collect_runtime_logs to retrieve information from Algorithmaide without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs log collection and querying without altering, executing code, or deleting data. It reads existing logs from storage (SQLite database and log files), making it a Read category tool.
From the tool's definition Tool description explicitly states 'Collect runtime logs' from SQLite database and frida.log—a retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access collect_runtime_logs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Algorithmaide, and nothing reaches the server without passing your rules. This is the rule we recommend for collect_runtime_logs:
{
"version": "1",
"default": "deny",
"tools": {
"collect_runtime_logs": {}
}
}collect_runtime_logs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Collect runtime logs, prioritizing the SQLite database and frida.log. It is categorised as a Read tool in the Algorithmaide MCP Server, which means it retrieves data without modifying state.
Register the Algorithmaide MCP server in PolicyLayer and add a rule for collect_runtime_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 Algorithmaide. Nothing to install.
collect_runtime_logs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the collect_runtime_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.
Set action: deny in the PolicyLayer policy for collect_runtime_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.
collect_runtime_logs is provided by the Algorithmaide MCP server (vwww-droid/algorithmaide-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Algorithmaide, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
23 Algorithmaide tools catalogued and risk-classified — across an index of 43,000+ MCP servers.