leads_map

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/leads-map.md

WHAT IT DOES

What leads_map does on FeatureBoard

AI agents use leads_map 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 leads_map is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

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

leads_map Rate-limited

leads_map 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": {
    "leads_map": {
      "limits": [
        {
          "counter": "leads_map_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 leads_map call is checked against it from then on.

FAQ

Questions about leads_map

What does the leads_map tool do? +

Geographic + pipeline rollup for the leads map: mappable points (leads with lat/lng), counts by status and by city, geocoded/ungeocoded tally, and total pipeline value. Rendering is left to the board or a generated report. 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 leads_map? +

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

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

Can I rate-limit leads_map? +

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

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

leads_map 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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