Low Risk

query_agent_logs

Build a short unified log view from sqlite hits, short context, and frida.log supplements.

How to control query_agent_logs ↓

What query_agent_logs does on Algorithmaide

AI agents call query_agent_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.

Low Risk

Why query_agent_logs needs a policy

This tool retrieves and presents log data from multiple sources (sqlite, frida.log) without modifying, deleting, or executing code. It performs read-only aggregation and presentation of existing logs. While it operates in a sensitive Android debugging context, the tool itself has no side effects on the target system or data persistence—it only constructs a view of historical logs. Severity is low because misuse (e.g.

From the tool's definition Tool name 'query_agent_logs' and description 'Build a short unified log view from sqlite hits, short context, and frida.log supplements' indicate data retrieval and aggregation operations. Keywords: 'query', 'view', 'from' (data sources), no mutation verbs.

Documented attack patterns abuse exactly the kind of access query_agent_logs gives an agent:

How to control query_agent_logs

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_agent_logs:

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

query_agent_logs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Algorithmaide — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about query_agent_logs

What does the query_agent_logs tool do? +

Build a short unified log view from sqlite hits, short context, and frida.log supplements. It is categorised as a Read tool in the Algorithmaide MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_agent_logs? +

Register the Algorithmaide MCP server in PolicyLayer and add a rule for query_agent_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.

What risk level is query_agent_logs? +

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

Can I rate-limit query_agent_logs? +

Yes. Add a rate_limit block to the query_agent_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 query_agent_logs completely? +

Set action: deny in the PolicyLayer policy for query_agent_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 query_agent_logs? +

query_agent_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.

Enforce policy on every Algorithmaide tool call.

Start from Algorithmaide, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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23 Algorithmaide tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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