list_actions
List Actions configured for a published app. Shows method, status, and recent invocation stats.
This record as markdown: /tools/deloc-mcp/list-actions.md
What list_actions does on Deloc
AI agents call list_actions 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 list_actions is rated Low
This tool only retrieves and displays existing action configurations and statistics. No data is created, modified, deleted, or executed. Pure read operation with minimal blast radius.
From the tool's definition 'List Actions configured for a published app. Shows method, status, and recent invocation stats.'
Attacks that exploit this kind of access
The rule that runs list_actions 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 list_actions, this is the rule to start with:
list_actions 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 list_actions call is checked against it from then on.
Questions about list_actions
List Actions configured for a published app. Shows method, status, and recent invocation stats. 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 list_actions: 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.
list_actions 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 list_actions 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 list_actions. 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.
list_actions 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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