util_http_retry_plan

Decide whether an HTTP failure is safe to retry and return an idempotency-aware policy.

SERVERDelx MCP Server SOURCEdelx-mcp-server

Medium RISK CLASS

Category Write

Parameters 31 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-mcp-server/util-http-retry-plan.md

WHAT IT DOES

What util_http_retry_plan does on Delx MCP Server

AI agents use util_http_retry_plan to create or update resources in Delx MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Delx MCP Server environment.

Parameter	Type	Required	Description
`method`	string	—
`idempotent`	boolean	—	Override inferred method idempotency when the caller has a stable key.
`status_code`	integer	Yes

Parameters from the server's own tool schema.

RISK

Why util_http_retry_plan is rated Medium

An AI agent can call util_http_retry_plan faster than any human can review: one bad instruction and it creates or modifies resources in Delx MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs util_http_retry_plan safely

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

util_http_retry_plan Rate-limited

util_http_retry_plan stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "util_http_retry_plan": {
      "limits": [
        {
          "counter": "util_http_retry_plan_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about util_http_retry_plan

What does the util_http_retry_plan tool do? +

Decide whether an HTTP failure is safe to retry and return an idempotency-aware policy. It is categorised as a Write tool in the Delx MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does util_http_retry_plan accept? +

util_http_retry_plan accepts 3 parameters: method, idempotent, status_code. Required: status_code. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on util_http_retry_plan? +

Register the Delx MCP Server MCP server in PolicyLayer and add a rule for util_http_retry_plan: 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 Delx MCP Server. Nothing to install.

What risk level is util_http_retry_plan? +

util_http_retry_plan is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit util_http_retry_plan? +

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

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

util_http_retry_plan is provided by the Delx MCP Server MCP server (delx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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