Returns reference data for a supported MLP ticker — current cash distribution per unit, distribution growth CAGR, default return-of-capital percentage, distribution coverage ratio, K-1 entity count, operating-state count, and last-verified date. Use when: User wants to look up baseline characteri...
Part of the MLP Tax Computation Engine server.
Free to start. No card required.
AI agents call mlp_info to perform operations in MLP Tax Computation Engine. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.
Applying a policy to mlp_info gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.
Apply a rate limit to control usage and monitor for unexpected behaviour.
{
"version": "1",
"default": "deny",
"tools": {
"mlp_info": {
"limits": [
{
"counter": "mlp_info_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
}See the full MLP Tax Computation Engine policy for all 6 tools.
These attack patterns abuse exactly the kind of access mlp_info gives an agent. Each links to the full case and the policy that stops it:
Other other tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Returns reference data for a supported MLP ticker — current cash distribution per unit, distribution growth CAGR, default return-of-capital percentage, distribution coverage ratio, K-1 entity count, operating-state count, and last-verified date. Use when: User wants to look up baseline characteristics of an MLP before modeling — e.g., comparing distribution coverage across partnerships, checking how many K-1 entities a holding generates for tax-prep complexity, or seeing the operating-state count for state-tax filing-burden estimation. Don't use for: Tax computation. Use mlp_projection (long-horizon modeling), mlp_estate_planning (estate analysis), mlp_sell_vs_hold (break-even sell price), or k1_basis_compute / k1_basis_multi_year (computing basis from actual K-1 data). Note: This tool returns reference data only — no IRC citations apply, no methodology disclosure attached. For computation, use the modeling tools above. Maintained by Lucas Andersen, MS Finance.. It is categorised as a Other tool in the MLP Tax Computation Engine MCP Server, which means it performs auxiliary operations.
Register the MLP Tax Computation Engine MCP server in PolicyLayer and add a rule for mlp_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 MLP Tax Computation Engine. Nothing to install.
mlp_info is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the mlp_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.
Set action: deny in the PolicyLayer policy for mlp_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.
mlp_info is provided by the MLP Tax Computation Engine MCP server (https://api.lucasandersen.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 MLP Tax Computation Engine 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.