plan_work

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/plan-work.md

WHAT IT DOES

What plan_work does on FeatureBoard

AI agents use plan_work 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 plan_work is rated Medium

The tool creates new data structures (projects, features, bugs, tickets) in a reversible manner. This is a Write operation since created tickets can be deleted or modified.

From the tool's definition Tool description states it 'creates the project, then adds the features and bugs you list' and 'Returns all created tickets,' indicating creation of new board items and project data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs plan_work 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 plan_work, this is the rule to start with:

plan_work Rate-limited

plan_work 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": {
    "plan_work": {
      "limits": [
        {
          "counter": "plan_work_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 plan_work call is checked against it from then on.

FAQ

Questions about plan_work

What does the plan_work tool do? +

Turn a user request into board items in one step. Optionally creates the project, then adds the features and bugs you list. Use this as the FIRST step when starting a substantive request, then work the tickets one at a time. Returns all created tickets. When the project config etaHints is on (default), each created ticket carries an. 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 plan_work? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for plan_work: 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 plan_work? +

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

Can I rate-limit plan_work? +

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

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

plan_work 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.

KEEP EXPLORING

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