Medium Risk

manage_search_paths

Add, remove, or list dynamic skill search paths without restarting the server. Persists to skill-paths.json in the workspace root.

Risk signalsAdmin/system-level operation

Part of the Agent Skill Loader server.

manage_search_paths can modify Agent Skill Loader 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 manage_search_paths to create or modify resources in Agent Skill Loader. 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 manage_search_paths 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 Agent Skill Loader.

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

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

See the full Agent Skill Loader policy for all 5 tools.

Get this rule live on your own Agent Skill Loader server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Add, remove, or list dynamic skill search paths without restarting the server. Persists to skill-paths.json in the workspace root.. It is categorised as a Write tool in the Agent Skill Loader MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_search_paths? +

Register the Agent Skill Loader MCP server in PolicyLayer and add a rule for manage_search_paths: 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 Agent Skill Loader. Nothing to install.

What risk level is manage_search_paths? +

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

Can I rate-limit manage_search_paths? +

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

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

manage_search_paths is provided by the Agent Skill Loader MCP server (agent-skill-loader). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agent Skill Loader tool call.

Deterministic rules across all 5 Agent Skill Loader tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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