Low Risk

get_contact_info

Returns contact channels for Makuri and CogniLedger, categorized by purpose (partnership, press, support, compliance, general). Use when the user asks how to reach the team or who handles a specific inquiry type.

Part of the Makuri Showcase (CogniLedger) server.

get_contact_info 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 get_contact_info to retrieve information from Makuri Showcase (CogniLedger) 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 get_contact_info 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": {
    "get_contact_info": {}
  }
}

See the full Makuri Showcase (CogniLedger) policy for all 10 tools.

Get this rule live on your own Makuri Showcase (CogniLedger) 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 get_contact_info 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 get_contact_info 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 get_contact_info tool do? +

Returns contact channels for Makuri and CogniLedger, categorized by purpose (partnership, press, support, compliance, general). Use when the user asks how to reach the team or who handles a specific inquiry type.. It is categorised as a Read tool in the Makuri Showcase (CogniLedger) MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_contact_info? +

Register the Makuri Showcase (CogniLedger) MCP server in PolicyLayer and add a rule for get_contact_info: 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 Makuri Showcase (CogniLedger). Nothing to install.

What risk level is get_contact_info? +

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

Can I rate-limit get_contact_info? +

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

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

get_contact_info is provided by the Makuri Showcase (CogniLedger) MCP server (https://mcp.cogniledger.eu/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Makuri Showcase (CogniLedger) tool call.

Deterministic rules across all 10 Makuri Showcase (CogniLedger) tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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