delego_resolve_action
A other tool on the Pypi:delego MCP server.
This record as markdown: /tools/delego-dev-delego/delego-resolve-action.md
What delego_resolve_action does on Pypi:delego
AI agents call delego_resolve_action as a supporting operation in Pypi:delego workflows.
Why delego_resolve_action is rated Low
The description is entirely empty, providing no direct evidence of what this tool does. Based on the tool name 'delego_resolve_action' and the server context (a policy and audit firewall for agent actions), this likely resolves/approves or rejects a pending action that was proposed via 'delego_propose_action'. This could be a Write or Execute operation, but without a description it's ambiguous.
From the tool's definition Tool description is empty; tool name is 'delego_resolve_action'
Attacks that exploit this kind of access
The rule that runs delego_resolve_action safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:delego, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delego_resolve_action, this is the rule to start with:
delego_resolve_action gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:delego, apply this rule, and every delego_resolve_action call is checked against it from then on.
Questions about delego_resolve_action
delego_resolve_action is a other tool on the Pypi:delego MCP server. It is categorised as a Other tool in the Pypi:delego MCP Server, which means it performs auxiliary operations.
Register the Pypi:delego MCP server in PolicyLayer and add a rule for delego_resolve_action: 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 Pypi:delego. Nothing to install.
delego_resolve_action is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the delego_resolve_action 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 delego_resolve_action. 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.
delego_resolve_action is provided by the Pypi:delego MCP server (pypi:delego). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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