AI agents call log_search to retrieve information from AgentOS without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical log data based on search criteria. It has no side effects—it does not create, modify, delete, or execute any operations. The search capability is purely informational, making it a Read-category tool with low severity since misuse would only expose existing log information rather than cause operational harm.
From the tool's definition Tool name 'log_search' and description 'Search logs by tool name, date range, or keyword' indicate querying/retrieval operations with no modification or deletion of data.
Attacks that exploit this kind of access
Search logs by tool name, date range, or keyword. It is categorised as a Read tool in the AgentOS MCP Server, which means it retrieves data without modifying state.
Register the AgentOS MCP server in PolicyLayer and add a rule for log_search: 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 AgentOS. Nothing to install.
log_search 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 log_search 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 log_search. 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.
log_search is provided by the AgentOS MCP server (netflypsb/agentos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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