Low Risk

qsbs_check

Section 1202 Qualified Small Business Stock (QSBS) qualification check. Use this tool for §1202 / QSBS qualification. For AMT timing on the ISO exercise that produced the QSBS holding, use amt_iso_optimize first. Parameter interactions an agent should know: entityType="other" short-circuits the v...

Risk signalsHigh parameter count (12 properties) · Bulk/mass operation — affects multiple targets

Part of the Optionsahoy Mcp server.

qsbs_check 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 qsbs_check to retrieve information from Optionsahoy Mcp 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 qsbs_check 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": {
    "qsbs_check": {}
  }
}

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These attack patterns abuse exactly the kind of access qsbs_check gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so qsbs_check 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 qsbs_check tool do? +

Section 1202 Qualified Small Business Stock (QSBS) qualification check. Use this tool for §1202 / QSBS qualification. For AMT timing on the ISO exercise that produced the QSBS holding, use amt_iso_optimize first. Parameter interactions an agent should know: entityType="other" short-circuits the verdict to does-not-qualify regardless of other fields; acquisitionMethod="secondary" does the same; assetCategory="over-75m" likewise fails immediately. Under acquisitionMethod="gift-or-inheritance" the holding period tacks from the original holder, so supply that earlier date as acquisitionDate if known. acquisitionDate drives era classification independent of holding period: before 2009-02-17 caps exclusion at 50%, 2009-02-17 to 2010-09-27 at 75%, 2010-09-28 through 2025-07-04 reaches 100% after a 5-year hold (pre-OBBBA), and 2025-07-05 onward uses the OBBBA tiered schedule (50% at 3y, 75% at 4y, 100% at 5y). The per-issuer exclusion cap is max($10M, 10 × adjustedBasis); when expectedGain exceeds it, the overage is fully taxable and the response surfaces taxableGain for that delta. industry is the dominant industry (>80% revenue) when the corp operates in multiple. Evaluates the eight statutory tests: domestic C-corporation entity, original-issuance acquisition method, gross assets at issuance (under $50M / $50-75M / over $75M tiered cap), qualified-trade-or-business industry, active-business posture (80% asset use), holding period (3 / 4 / 5-year tiers under OBBBA), adjusted basis, and expected gain at sale. Pure stateless check: no filing, reporting, or IRS lookup happens; the eight tests are evaluated against the bundled OBBBA 2026 rule set and per-state conformity table. Returns a top-level object with keys: verdict (qualifies / partial / does-not-qualify), exclusionPercent (0..1), perIssuerCap and tenXBasisCap (the two cap inputs), applicableCap (max of the two), excludableGain, taxableGain, federalTaxSaved (LTCG bracket on the excluded gain), stateConforms (full / partial / none) and stateNote (per-state explanation), holdingYears, yearsUntilFullExclusion, era (pre-2009 / 2009-2010 / pre-obbba / obbba), and tests (array of {id, label, status, detail} for each of the eight statutory tests so an agent can show which gate failed). Example call: {acquisitionDate: "2020-01-15", saleDate: "2026-06-01", entityType: "us-c-corp", acquisitionMethod: "original-issuance", assetCategory: "under-50m", industry: "tech-software", activeBusiness: "yes", adjustedBasis: 100000, expectedGain: 5000000, stateCode: "CA", ordinaryIncome: 250000, filingStatus: "single"}. IMPORTANT: every field listed in required must come from the user's message. The model invoking this tool MUST NOT invent a value for any required field. If the user did not supply it, ask the user. For enum fields that accept unsure, pass unsure when the user does not know; do not guess yes/no.. It is categorised as a Read tool in the Optionsahoy Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on qsbs_check? +

Register the Optionsahoy MCP server in PolicyLayer and add a rule for qsbs_check: 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 Optionsahoy Mcp. Nothing to install.

What risk level is qsbs_check? +

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

Can I rate-limit qsbs_check? +

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

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

qsbs_check is provided by the Optionsahoy MCP server (https://optionsahoy.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Optionsahoy Mcp tool call.

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