neuron_run_lead_source

Run a lead source now to pull new leads into the pool (queues the extraction).

SERVERNeuron SOURCEneuron-mcp-server

High RISK CLASS

Category Execute

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-conquext-neuron/neuron-run-lead-source.md

WHAT IT DOES

What neuron_run_lead_source does on Neuron

AI agents invoke neuron_run_lead_source to trigger actions in Neuron. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Parameter	Type	Required	Description
`id`	string	Yes	Lead source UUID

Parameters from the server's own tool schema.

RISK

Why neuron_run_lead_source is rated High

neuron_run_lead_source triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs neuron_run_lead_source safely

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

neuron_run_lead_source Rate-limited

neuron_run_lead_source stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "neuron_run_lead_source": {
      "limits": [
        {
          "counter": "neuron_run_lead_source_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Neuron, apply this rule, and every neuron_run_lead_source call is checked against it from then on.

FAQ

Questions about neuron_run_lead_source

What does the neuron_run_lead_source tool do? +

Run a lead source now to pull new leads into the pool (queues the extraction). It is categorised as a Execute tool in the Neuron MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does neuron_run_lead_source accept? +

neuron_run_lead_source accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on neuron_run_lead_source? +

Register the Neuron MCP server in PolicyLayer and add a rule for neuron_run_lead_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 Neuron. Nothing to install.

What risk level is neuron_run_lead_source? +

neuron_run_lead_source is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit neuron_run_lead_source? +

Yes. Add a rate_limit block to the neuron_run_lead_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 neuron_run_lead_source completely? +

Set action: deny in the PolicyLayer policy for neuron_run_lead_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 neuron_run_lead_source? +

neuron_run_lead_source is provided by the Neuron MCP server (neuron-mcp-server). 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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