adaptercloud_export_jobs_retry

Retry a failed export job.

SERVERAdaptercloud SOURCE@burdenoff/adaptercloud-mcp

Medium RISK CLASS

Category Write

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/burdenoff-adaptercloud-mcp/adaptercloud-export-jobs-retry.md

WHAT IT DOES

What adaptercloud_export_jobs_retry does on Adaptercloud

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

Parameter	Type	Required	Description
`id`	string	Yes	Export job ID

Parameters from the server's own tool schema.

RISK

Why adaptercloud_export_jobs_retry is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs adaptercloud_export_jobs_retry safely

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

adaptercloud_export_jobs_retry Rate-limited

adaptercloud_export_jobs_retry 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": {
    "adaptercloud_export_jobs_retry": {
      "limits": [
        {
          "counter": "adaptercloud_export_jobs_retry_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 Adaptercloud, apply this rule, and every adaptercloud_export_jobs_retry call is checked against it from then on.

FAQ

Questions about adaptercloud_export_jobs_retry

What does the adaptercloud_export_jobs_retry tool do? +

Retry a failed export job. It is categorised as a Write tool in the Adaptercloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does adaptercloud_export_jobs_retry accept? +

adaptercloud_export_jobs_retry accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on adaptercloud_export_jobs_retry? +

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

What risk level is adaptercloud_export_jobs_retry? +

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

Can I rate-limit adaptercloud_export_jobs_retry? +

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

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

adaptercloud_export_jobs_retry is provided by the Adaptercloud MCP server (@burdenoff/adaptercloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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