Medium Risk

plan_pathfind

Find the shortest (or k-shortest) path between two nodes in a weighted graph using A* + Yen's algorithm. Use for routing, dependency resolution, project critical-path discovery, or 'how do I get from X to Y' questions on graphs. Set kPaths>1 to also return alternatives. For full graph structure a...

Risk signalsHigh parameter count (15 properties)

Part of the Oraclaw server.

plan_pathfind can modify Oraclaw 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 plan_pathfind to create or modify resources in Oraclaw. 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 plan_pathfind 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 Oraclaw.

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

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

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These attack patterns abuse exactly the kind of access plan_pathfind 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 plan_pathfind 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 plan_pathfind tool do? +

Find the shortest (or k-shortest) path between two nodes in a weighted graph using A* + Yen's algorithm. Use for routing, dependency resolution, project critical-path discovery, or 'how do I get from X to Y' questions on graphs. Set kPaths>1 to also return alternatives. For full graph structure analysis (centrality, communities), use analyze_graph. For task-to-time-slot assignment, use solve_schedule. Free.. It is categorised as a Write tool in the Oraclaw MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_pathfind? +

Register the Oraclaw MCP server in PolicyLayer and add a rule for plan_pathfind: 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 Oraclaw. Nothing to install.

What risk level is plan_pathfind? +

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

Can I rate-limit plan_pathfind? +

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

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

plan_pathfind is provided by the Oraclaw MCP server (@oraclaw/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Oraclaw tool call.

Deterministic rules across all 17 Oraclaw tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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