Analyzes marketing/growth metrics (channel health, funnel, organic vs paid) and produces a Distribution Discipline Score (1-100). Use when the user provides marketing data as JSON.
AI agents call analyze_distribution_discipline to retrieve information from openGlad without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and processes provided marketing data to generate an analytical score. It performs a retrieval and computational operation similar to a query or assessment—characteristic of Read category tools. The low severity reflects that analysis-only operations have minimal blast radius: misuse results in incorrect recommendations rather than data loss or unauthorized actions.
From the tool's definition Tool description states it 'analyzes' marketing/growth metrics and 'produces' a score. The verb 'analyzes' indicates data retrieval and computation without side effects. No modification, deletion, execution, or financial transaction is described.
Documented attack patterns abuse exactly the kind of access analyze_distribution_discipline gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and openGlad, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_distribution_discipline:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_distribution_discipline": {}
}
}analyze_distribution_discipline is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyzes marketing/growth metrics (channel health, funnel, organic vs paid) and produces a Distribution Discipline Score (1-100). Use when the user provides marketing data as JSON. It is categorised as a Read tool in the openGlad MCP Server, which means it retrieves data without modifying state.
Register the openGlad MCP server in PolicyLayer and add a rule for analyze_distribution_discipline: 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 openGlad. Nothing to install.
analyze_distribution_discipline is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_distribution_discipline 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.
Set action: deny in the PolicyLayer policy for analyze_distribution_discipline. 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.
analyze_distribution_discipline is provided by the openGlad MCP server (tuguberk/openglad). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from openGlad, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 openGlad tools catalogued and risk-classified — across an index of 43,000+ MCP servers.