add_source

Save a research source (paper, article, reference) into 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-source.md

WHAT IT DOES

What add_source does on FeatureBoard

AI agents use add_source 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_source is rated Medium

This tool creates or adds a new research source reference to the project board, which is a reversible write operation. The severity is low because adding a reference source has minimal blast radius—it only appends metadata to the board without affecting critical data, finances, or system state. The local-first nature of FeatureBoard suggests this operates on local project data with limited external impact.

From the tool's definition Tool name 'add_source' combined with description 'Save a research source' indicates creation of a new record in the board's data store. No deletion, destruction, or code execution involved.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_source Rate-limited

add_source 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_source": {
      "limits": [
        {
          "counter": "add_source_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_source call is checked against it from then on.

FAQ

Questions about add_source

What does the add_source tool do? +

Save a research source (paper, article, reference) into 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_source? +

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

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

Can I rate-limit add_source? +

Yes. Add a rate_limit block to the add_source 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_source completely? +

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

add_source 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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