delego_pending

A read tool on the Pypi:delego MCP server.

SERVERPypi:delego SOURCEpypi:delego

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/delego-dev-delego/delego-pending.md

WHAT IT DOES

What delego_pending does on Pypi:delego

AI agents call delego_pending to retrieve information from Pypi:delego without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why delego_pending is rated Low

The tool name suggests listing pending items (proposed actions awaiting resolution) in a policy/audit firewall system. This is consistent with a read/query operation. However, the description is empty, lowering confidence. No evidence of write, execute, or destructive behavior.

From the tool's definition Tool name 'delego_pending' and empty description. Based on sibling tools (audit_tail, propose_action, resolve_action, show_policy), 'pending' most likely lists pending/unresolved proposed actions awaiting authorization.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delego_pending 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_pending, this is the rule to start with:

delego_pending Allowed

delego_pending is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "delego_pending": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:delego, apply this rule, and every delego_pending call is checked against it from then on.

FAQ

Questions about delego_pending

What does the delego_pending tool do? +

delego_pending is a read tool on the Pypi:delego MCP server. It is categorised as a Read tool in the Pypi:delego MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on delego_pending? +

Register the Pypi:delego MCP server in PolicyLayer and add a rule for delego_pending: 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.

What risk level is delego_pending? +

delego_pending is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit delego_pending? +

Yes. Add a rate_limit block to the delego_pending 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.

How do I block delego_pending completely? +

Set action: deny in the PolicyLayer policy for delego_pending. 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.

What MCP server provides delego_pending? +

delego_pending 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.

KEEP EXPLORING

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