apply_render_batch

Validate the same reviewed digest plus explicit confirmation, then submit one native batch. Direct create_batch also needs confirmation but does not require a digest. No retry.

SERVERBannerbear Mcp Cli SOURCE@thenavidm/bannerbear-mcp-cli

Medium RISK CLASS

Category Write

Parameters 51 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/thenavidm-bannerbear-mcp-cli/apply-render-batch.md

WHAT IT DOES

What apply_render_batch does on Bannerbear Mcp Cli

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

Parameter	Type	Required	Description
`account`	string	—
`confirm`	boolean	—	Set true only when the user asked for exactly this action.
`payload`	object	—
`payload_file`	string	—
`preview_sha256`	string	Yes

Parameters from the server's own tool schema.

RISK

Why apply_render_batch is rated Medium

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

Risk signalsAccepts raw HTML/template content (payload)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_render_batch safely

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

apply_render_batch Rate-limited

apply_render_batch 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": {
    "apply_render_batch": {
      "limits": [
        {
          "counter": "apply_render_batch_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 Bannerbear Mcp Cli, apply this rule, and every apply_render_batch call is checked against it from then on.

FAQ

Questions about apply_render_batch

What does the apply_render_batch tool do? +

Validate the same reviewed digest plus explicit confirmation, then submit one native batch. Direct create_batch also needs confirmation but does not require a digest. No retry. It is categorised as a Write tool in the Bannerbear Mcp Cli MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does apply_render_batch accept? +

apply_render_batch accepts 5 parameters: account, confirm, payload, payload_file, preview_sha256. Required: preview_sha256. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on apply_render_batch? +

Register the Bannerbear Mcp Cli MCP server in PolicyLayer and add a rule for apply_render_batch: 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 Bannerbear Mcp Cli. Nothing to install.

What risk level is apply_render_batch? +

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

Can I rate-limit apply_render_batch? +

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

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

apply_render_batch is provided by the Bannerbear Mcp Cli MCP server (@thenavidm/bannerbear-mcp-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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