Low Risk

analyze_startup

Smart triage router — the best starting point when unsure which tool to use. Pass the user

How to control analyze_startup ↓

What analyze_startup does on openGlad

AI agents call analyze_startup 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.

Low Risk

Why analyze_startup needs a policy

A triage/routing tool that maps user queries to appropriate downstream analysis functions is fundamentally a classification and retrieval operation. It retrieves or suggests data-analysis paths without creating, modifying, executing, or deleting anything. Confidence is slightly reduced because the description is incomplete ('Pass the user' is cut off), but the context strongly suggests a read-only routing function.

From the tool's definition Tool is described as a 'Smart triage router' and 'starting point', implying it routes queries to appropriate diagnostic tools rather than performing direct actions. The description indicates it 'Pass[es] the user' (incomplete, but suggests delegation/routing).

Documented attack patterns abuse exactly the kind of access analyze_startup gives an agent:

How to control analyze_startup

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_startup:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_startup": {}
  }
}

analyze_startup is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register openGlad — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about analyze_startup

What does the analyze_startup tool do? +

Smart triage router — the best starting point when unsure which tool to use. Pass the user. It is categorised as a Read tool in the openGlad MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_startup? +

Register the openGlad MCP server in PolicyLayer and add a rule for analyze_startup: 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.

What risk level is analyze_startup? +

analyze_startup is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit analyze_startup? +

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

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

analyze_startup 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.

Enforce policy on every openGlad tool call.

Start from openGlad, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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13 openGlad tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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