Pull runtime logs and query recent hook records from algorithmAidePro.db and frida.log.
AI agents call query_hook_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 retrieves and queries existing log data from two sources (algorithmAidePro.db and frida.log) without altering, executing, or destroying any state. It is a pure Read operation with minimal blast radius—the worst outcome of misuse would be unauthorized information disclosure of logs already captured during Android reversing workflows.
From the tool's definition Tool description states 'Pull runtime logs and query recent hook records' — explicitly a retrieval operation with no modification, deletion, or execution of code. The verbs 'pull' and 'query' indicate data inspection only.
Documented attack patterns abuse exactly the kind of access query_hook_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 query_hook_logs:
{
"version": "1",
"default": "deny",
"tools": {
"query_hook_logs": {}
}
} query_hook_logs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Pull runtime logs and query recent hook records from algorithmAidePro.db 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 query_hook_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.
query_hook_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 query_hook_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 query_hook_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.
query_hook_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.