Low Risk

pathrule_read_rule

Read the full body and metadata for one Pathrule rule. Use this after pathrule_get_context, pathrule_goto, or pathrule_get_node returns a rule_id. Rules are instructions the AI should obey for a project path; this tool only reads the cloud rule record and does not modify anything.

Part of the Pathrule server.

pathrule_read_rule 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.

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Free to start. No card required.

AI agents call pathrule_read_rule to retrieve information from Pathrule 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 pathrule_read_rule 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": {
    "pathrule_read_rule": {}
  }
}

See the full Pathrule policy for all 30 tools.

Get this rule live on your own Pathrule 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 pathrule_read_rule 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 pathrule_read_rule only ever does what you allow.

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

What does the pathrule_read_rule tool do? +

Read the full body and metadata for one Pathrule rule. Use this after pathrule_get_context, pathrule_goto, or pathrule_get_node returns a rule_id. Rules are instructions the AI should obey for a project path; this tool only reads the cloud rule record and does not modify anything.. It is categorised as a Read tool in the Pathrule MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pathrule_read_rule? +

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

What risk level is pathrule_read_rule? +

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

Can I rate-limit pathrule_read_rule? +

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

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

pathrule_read_rule is provided by the Pathrule MCP server (https://mcp.pathrule.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pathrule tool call.

Deterministic rules across all 30 Pathrule tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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