container_logs
A read tool on the MCP Framework Personal MCP server.
This record as markdown: /tools/inggerman-mcps/container-logs.md
What container_logs does on MCP Framework Personal
AI agents call container_logs to retrieve information from MCP Framework Personal without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why container_logs is rated Low
Even though container_logs only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs container_logs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For container_logs, this is the rule to start with:
container_logs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every container_logs call is checked against it from then on.
Questions about container_logs
container_logs is a read tool on the MCP Framework Personal MCP server. It is categorised as a Read tool in the MCP Framework Personal MCP Server, which means it retrieves data without modifying state.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for container_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 MCP Framework Personal. Nothing to install.
container_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 container_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 container_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.
container_logs is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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