Low Risk

bamboohr_get_directory

Get complete employee directory with names, titles, departments, contact info, and manager assignments for all staff.

Part of the Bamboohr server.

bamboohr_get_directory 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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AI agents call bamboohr_get_directory to retrieve information from Bamboohr 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 bamboohr_get_directory 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": {
    "bamboohr_get_directory": {}
  }
}

See the full Bamboohr policy for all 25 tools.

Get this rule live on your own Bamboohr 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 bamboohr_get_directory 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 bamboohr_get_directory 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 bamboohr_get_directory tool do? +

Get complete employee directory with names, titles, departments, contact info, and manager assignments for all staff.. It is categorised as a Read tool in the Bamboohr MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bamboohr_get_directory? +

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

What risk level is bamboohr_get_directory? +

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

Can I rate-limit bamboohr_get_directory? +

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

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

bamboohr_get_directory is provided by the Bamboohr MCP server (https://gateway.pipeworx.io/bamboohr/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bamboohr tool call.

Deterministic rules across all 25 Bamboohr tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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