Medium Risk

generate_mermaid_graph

Generate a Mermaid.js dependency diagram and return it as a markdown string. The AI can render this diagram inline in the chat. For large graphs, use focus_node and max_depth to keep the output token-efficient. Args: focus_node: Optional function name to centre the graph on. max_depth: Max hops f...

Part of the GraphPulse C++ server.

generate_mermaid_graph can modify GraphPulse C++ data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use generate_mermaid_graph to create or modify resources in GraphPulse C++. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_mermaid_graph repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach GraphPulse C++.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_mermaid_graph": {
      "limits": [
        {
          "counter": "generate_mermaid_graph_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access generate_mermaid_graph gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so generate_mermaid_graph only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_mermaid_graph tool do? +

Generate a Mermaid.js dependency diagram and return it as a markdown string. The AI can render this diagram inline in the chat. For large graphs, use focus_node and max_depth to keep the output token-efficient. Args: focus_node: Optional function name to centre the graph on. max_depth: Max hops from focus_node (default 2). Returns: A Mermaid-fenced markdown string for inline rendering.. It is categorised as a Write tool in the GraphPulse C++ MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_mermaid_graph? +

Register the GraphPulse C++ MCP server in PolicyLayer and add a rule for generate_mermaid_graph: 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 GraphPulse C++. Nothing to install.

What risk level is generate_mermaid_graph? +

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

Can I rate-limit generate_mermaid_graph? +

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

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

generate_mermaid_graph is provided by the GraphPulse C++ MCP server (labsofuniverse/legacy-mcp-analyzer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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