get_self_directed_delivery_run

Load a previously recorded autonomous delivery run with all stage receipts, summaries, and final recommendations.

SERVERNodebench SOURCEnodebench-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/get-self-directed-delivery-run.md

WHAT IT DOES

What get_self_directed_delivery_run does on Nodebench

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

RISK

Why get_self_directed_delivery_run is rated Low

This tool queries and retrieves historical delivery run records. The verb 'Load' and the focus on reading 'previously recorded' data confirm it performs a read operation with no side effects, reversible actions, code execution, destructive operations, or financial transactions.

From the tool's definition Tool name contains 'get_' (retrieval verb) and description states 'Load a previously recorded autonomous delivery run' — indicates data retrieval without modification or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_self_directed_delivery_run safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_self_directed_delivery_run, this is the rule to start with:

get_self_directed_delivery_run Allowed

get_self_directed_delivery_run 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": {
    "get_self_directed_delivery_run": {}
  }
}

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

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

FAQ

Questions about get_self_directed_delivery_run

What does the get_self_directed_delivery_run tool do? +

Load a previously recorded autonomous delivery run with all stage receipts, summaries, and final recommendations. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_self_directed_delivery_run? +

Register the Nodebench MCP server in PolicyLayer and add a rule for get_self_directed_delivery_run: 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 Nodebench. Nothing to install.

What risk level is get_self_directed_delivery_run? +

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

Can I rate-limit get_self_directed_delivery_run? +

Yes. Add a rate_limit block to the get_self_directed_delivery_run 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 get_self_directed_delivery_run completely? +

Set action: deny in the PolicyLayer policy for get_self_directed_delivery_run. 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 get_self_directed_delivery_run? +

get_self_directed_delivery_run is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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