Low Risk

path_suggestion

Suggest a note path based on note kind and the OpenAkashic folder rules. Use this tool when unsure what path to pass to upsert_note. Returns a path string ready to use directly in upsert_note.

Risk signalsAccepts file system path (folder)

Part of the OpenAkashic server.

path_suggestion is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE OPENAKASHIC →

Free to start. No card required.

AI agents call path_suggestion to retrieve information from OpenAkashic without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though path_suggestion only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full OpenAkashic policy for all 35 tools.

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

ENFORCE ON MY OPENAKASHIC →

View all 35 tools →

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

Browse the full MCP Attack Database →

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

SECURE OPENAKASHIC →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the path_suggestion tool do? +

Suggest a note path based on note kind and the OpenAkashic folder rules. Use this tool when unsure what path to pass to upsert_note. Returns a path string ready to use directly in upsert_note.. It is categorised as a Read tool in the OpenAkashic MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on path_suggestion? +

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

What risk level is path_suggestion? +

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

Can I rate-limit path_suggestion? +

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

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

path_suggestion is provided by the OpenAkashic MCP server (https://knowledge.openakashic.com/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OpenAkashic tool call.

Deterministic rules across all 35 OpenAkashic tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.