query_ai_logs

Aggregate AI audit logs for analytics (usage trends, errors)

Server Chicken Business Management MCP Server psyger02/mcpserver
Category Read
Risk class Low
Parameters 00 required

What query_ai_logs does on Chicken Business Management MCP Server

AI agents call query_ai_logs to retrieve information from Chicken Business Management MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why query_ai_logs needs a policy

This tool retrieves and aggregates audit log data for analytical purposes with no side effects or data modification. It falls into the Read category. Severity is medium because audit logs may contain sensitive information about business operations, user behavior, AI processing details, and system errors that could be misused if accessed by a compromised agent, but the tool itself only queries and does not modify or…

From the tool's definition Tool description states it 'Aggregate AI audit logs for analytics (usage trends, errors)' - performs data retrieval and analysis without modification. The verb 'aggregate' indicates querying/summarizing existing logs.

Questions about query_ai_logs

What does the query_ai_logs tool do? +

Aggregate AI audit logs for analytics (usage trends, errors). It is categorised as a Read tool in the Chicken Business Management MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_ai_logs? +

Register the Chicken Business Management MCP Server MCP server in PolicyLayer and add a rule for query_ai_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 Chicken Business Management MCP Server. Nothing to install.

What risk level is query_ai_logs? +

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

Can I rate-limit query_ai_logs? +

Yes. Add a rate_limit block to the query_ai_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_ai_logs completely? +

Set action: deny in the PolicyLayer policy for query_ai_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_ai_logs? +

query_ai_logs is provided by the Chicken Business Management MCP Server MCP server (psyger02/mcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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