add_features_bulk

Add several features at once. Use this after brainstorming: you generate the ideas, this persists them. Returns the created tickets.

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/add-features-bulk.md

WHAT IT DOES

What add_features_bulk does on FeatureBoard

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

RISK

Why add_features_bulk is rated Medium

This tool creates new feature/ticket records in a project board, which is a reversible write operation. It does not execute arbitrary code, delete data, move money, or trigger external side effects beyond persisting structured data to the board.

From the tool's definition Tool name 'add_features_bulk' and description 'Add several features at once' and 'persists them. Returns the created tickets' indicate creation of data records.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_features_bulk safely

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

add_features_bulk Rate-limited

add_features_bulk 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": {
    "add_features_bulk": {
      "limits": [
        {
          "counter": "add_features_bulk_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 FeatureBoard, apply this rule, and every add_features_bulk call is checked against it from then on.

FAQ

Questions about add_features_bulk

What does the add_features_bulk tool do? +

Add several features at once. Use this after brainstorming: you generate the ideas, this persists them. Returns the created tickets. It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_features_bulk? +

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

What risk level is add_features_bulk? +

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

Can I rate-limit add_features_bulk? +

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

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

add_features_bulk is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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