add_feature

Add a feature to a board

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-feature.md

WHAT IT DOES

What add_feature does on FeatureBoard

AI agents use add_feature 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_feature is rated Medium

This tool creates/adds a new feature to a board, which is a reversible write operation. It does not execute code, delete data irreversibly, move money, or retrieve sensitive information. The local-first architecture and project board context suggest this modifies board state in a controlled, non-destructive manner.

From the tool's definition Tool name 'add_feature' and description 'Add a feature to a board' indicate creation of new data (feature records) in a local project board system.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_feature Rate-limited

add_feature 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_feature": {
      "limits": [
        {
          "counter": "add_feature_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_feature call is checked against it from then on.

FAQ

Questions about add_feature

What does the add_feature tool do? +

Add a feature to a board. 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_feature? +

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

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

Can I rate-limit add_feature? +

Yes. Add a rate_limit block to the add_feature 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_feature completely? +

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

add_feature 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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