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CULT+MATH Decision Briefs

Is there still time to respond to a rule on this?

run_regulatory_clock
Read-onlyIdempotent

Use when the user asks whether a U.S. federal rule on a topic is open for comment, when the deadline is, or when a final rule takes effect. Returns, as of today, the Federal Register documents mentioning the phrase whose comment period is still open (with days left) and the final rules still waiting to take effect, optionally for one agency, each linked. Safe to cite: its controls are checked first, it states its limits, and every result carries a run id, a date and a citation line. If a control fails it refuses and you are not charged. This tool charges nothing: it validates the request and returns a payment_url, the price and instructions. Pay by POSTing to payment_url over MPP (HTTP 402, a Stripe shared payment token from your wallet). Price: $2.00 per run, charged only when the run comes back sound; pay over MPP (a Stripe shared payment token) or x402 (USDC on Base, no account needed). A real sample of this run, free: https://cultmath.com/agent/samples/regulatory-clock.json

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "phrase": "<phrase>"
    },
    "name": "run_regulatory_clock"
  }
}

Input Schema

NameRequiredDescriptionDefault
agencyNoOptional: one agency only.
phraseYesThe phrase to measure, without quote marks.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the readOnly/idempotent/openWorld annotations, it discloses useful behavior: results are 'as of today', carry a run id, date, and citation line, and the tool refuses without charging if a control fails. However, the description is internally inconsistent about what is returned — one sentence promises Federal Register documents, a later sentence says it 'validates the request and returns a payment_url' — and the payment language oscillates between 'charges nothing' and '$2.00 per run, charged only when the run comes back sound', which muddles the actual invocation flow.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The use case is correctly front-loaded, but the body is padded with payment boilerplate (MPP, x402, USDC on Base, Stripe shared payment token), a free-sample URL, and a vague 'Safe to cite' sentence that does not convey a checkable claim. Several sentences could be merged or cut without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must carry the return-value burden, and it does so only partially and inconsistently — it names the document classes but then describes returning a payment_url, leaving the agent unsure what a successful call actually yields. The paywall mechanics are covered, but the mismatch between the stated results and the stated payment response is a real gap for a tool an agent must decide to invoke.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so both parameters are already documented, including the agency enum and the 3-80 character phrase bounds. The description adds only marginal meaning ('the phrase', 'optionally for one agency') and does not clarify match semantics — whether the phrase is matched verbatim, as a substring, or loosely.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence names a concrete verb and resource: it tells the agent whether a U.S. federal rule on a topic is open for comment, when the deadline is, and when a final rule takes effect, and it describes the returned set (open-comment documents with days left, plus final rules awaiting effect). It is distinguishable from trend-oriented siblings like run_regulatory_trend, though it never names a sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The trigger is explicit: 'Use when the user asks whether a U.S. federal rule on a topic is open for comment, when the deadline is, or when a final rule takes effect.' There are no when-not conditions and no named alternatives (e.g. run_regulatory_trend for historical patterns), so the routing is clear but not complete.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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