Low Risk

mlp_projection

Computes a multi-year tax projection for a publicly traded MLP position, applying the IRS Partner's Basis Worksheet methodology (Lines 1-14) per IRC §705 (basis computation), §731(a) (distributions exceeding basis), §733 (basis reduction), §751 (hot asset recapture), §752 (liability allocation), ...

Part of the MLP Tax Computation Engine server.

mlp_projection 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 mlp_projection 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_projection 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "mlp_projection": {
      "limits": [
        {
          "counter": "mlp_projection_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full MLP Tax Computation Engine policy for all 6 tools.

Get this rule live on your own MLP Tax Computation Engine 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 mlp_projection 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 mlp_projection only ever does what you allow.

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Other other tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the mlp_projection tool do? +

Computes a multi-year tax projection for a publicly traded MLP position, applying the IRS Partner's Basis Worksheet methodology (Lines 1-14) per IRC §705 (basis computation), §731(a) (distributions exceeding basis), §733 (basis reduction), §751 (hot asset recapture), §752 (liability allocation), §1014 (stepped-up basis at death), and §199A (QBI deduction). Returns year-by-year basis erosion, §751 accumulation, annual federal tax, terminal FMV, §1014 step-up value at death, and the break-even sell price. Use when: User holds direct units of a midstream MLP (EPD, ET, MPLX, WES, PAA, NRP, USAC, SUN) and wants to model long-term tax outcomes — when basis reaches zero, total tax paid over the hold horizon, deferred tax eliminated by §1014 step-up at death, or the unit price at which selling matches holding through inheritance. Single position, single lot. Don't use for: 1099-DIV ETFs (AMLP, MLPX, AMZA — these use RIC structure, pay corporate-level tax, and issue 1099-DIV instead of K-1; use a standard cost-basis calculator instead). Multi-position estate analysis — use mlp_estate_planning. Computing basis from actual K-1 data the user has in hand — use k1_basis_compute (single year) or k1_basis_multi_year. Limitations: Single position, single lot — for multi-position portfolios and per-lot optimal sell ordering, see lucasandersen.ai. Federal-level only — does not include state-level basis adjustments or state estate tax. §751 recapture is estimated from default ROC assumptions; actual recapture depends on the partnership's hot-asset disposition schedule. Maintained by Lucas Andersen, MS Finance, with direct positions in major midstream MLPs. Methodology auditable at lucasandersen.ai/methodology.. It is categorised as a Other tool in the MLP Tax Computation Engine MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on mlp_projection? +

Register the MLP Tax Computation Engine MCP server in PolicyLayer and add a rule for mlp_projection: 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.

What risk level is mlp_projection? +

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

Can I rate-limit mlp_projection? +

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

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

mlp_projection 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.

Enforce policy on every MLP Tax Computation Engine tool call.

Deterministic rules across all 6 MLP Tax Computation Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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