This record as markdown: /tools/deloc-mcp/get-action-logs.md
What get_action_logs does on Deloc
AI agents call get_action_logs to retrieve information from Deloc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_action_logs is rated Low
This tool only retrieves historical data about past invocations without creating, modifying, deleting, or executing anything. It is a read operation with minimal blast radius—the worst case is exposure of historical metadata about application usage.
From the tool's definition The tool 'get_action_logs' fetches (retrieves) recent invocation history for an app with no modification or side effects. The verb 'fetch' and the purpose of retrieving historical logs indicates read-only access.
Attacks that exploit this kind of access
The rule that runs get_action_logs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deloc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_action_logs, this is the rule to start with:
get_action_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 Deloc, apply this rule, and every get_action_logs call is checked against it from then on.
Questions about get_action_logs
Fetch recent invocation history for an app. It is categorised as a Read tool in the Deloc MCP Server, which means it retrieves data without modifying state.
Register the Deloc MCP server in PolicyLayer and add a rule for get_action_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 Deloc. Nothing to install.
get_action_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 get_action_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 get_action_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.
get_action_logs is provided by the Deloc MCP server (delocdev/deloc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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