Low Risk

list_expert_profiles

Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per...

Part of the Taste server.

list_expert_profiles 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 list_expert_profiles to retrieve information from Taste 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 list_expert_profiles 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": {
    "list_expert_profiles": {}
  }
}

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

Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per-expert PII is exposed. Free.. It is categorised as a Read tool in the Taste MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_expert_profiles? +

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

What risk level is list_expert_profiles? +

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

Can I rate-limit list_expert_profiles? +

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

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

list_expert_profiles is provided by the Taste MCP server (https://api.humantaste.app/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Taste tool call.

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

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