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Ni Biashara Shelves — Africa FX, freight & compliance checks (x402)

Texas real-estate license CE & renewal check (TREC)

check_tx_realestate_ce

Texas real-estate license CE & renewal check (TREC). Deterministic TREC rules: continuing-education hours, renewal fees and active-license requirements for Texas real-estate licensees, by license type. Rules-engine output, not an LLM guess. $0.25 USDC on Base. Returns the x402 URL to GET (402 → PAYMENT-SIGNATURE → delivery). Free to call this tool; payment happens on the URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
first_timeYestrue|false (default false)
license_typeYesone of sales_agent | broker | broker_associate | inspector (required)

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses that this is a rules-engine output rather than an LLM guess, explains the payment flow ($0.25 USDC, free to call, payment on the returned URL), and reveals that the result is an x402 URL requiring a 402 → PAYMENT-SIGNATURE → delivery sequence. This is substantial behavioral context.

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

Conciseness5/5

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

The description is compact and front-loaded, with each sentence earning its place. It covers purpose, determinism, cost, and the delivery flow without redundancy or filler.

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

Completeness4/5

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

For a two-parameter tool with no output schema, the description is fairly complete: it states what the tool does, how payment works, and what is returned. It could optionally clarify the format of the delivered data, but the current level is sufficient for an agent to select and invoke it correctly.

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 description coverage is 100%, so the schema already documents license_type and first_time. The description adds that the rules are 'by license type' and mentions renewal, but it does not materially extend parameter meaning beyond the schema.

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

Purpose5/5

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

The description names a specific verb and resource: checking Texas real-estate license CE and renewal under TREC rules. It clearly enumerates what the tool covers (continuing-education hours, renewal fees, active-license requirements) and distinguishes it from siblings like check_tx_insurance_ce by specifying Texas real-estate licensees.

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 description gives clear context for when to call it: when checking Texas real-estate CE/renewal status by license type. It does not explicitly name sibling alternatives or exclusion criteria, but the scope is specific enough that an agent can infer the appropriate use case.

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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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct targets: FX official vs parallel vs brief, carrier vs broker vs BASICs, name vs wallet sanctions, and insurance vs real-estate CE. The bundled tools (vet_load, get_fx_africa_brief, buy_shelf_pass) overlap with individual tools but their descriptions explicitly frame them as convenience packages or payment modes, reducing real misselection risk.

Naming Consistency5/5

Every tool follows a consistent verb_noun snake_case pattern: buy_*, check_*, get_*, list_*, screen_sanctions_*, vet_load. There is no mixed casing or inconsistent verb styling across the set.

Tool Count4/5

At 16 tools the set is slightly above the typical 3-15 range, but the server intentionally spans FX, freight, compliance, and the x402 purchase lifecycle, so most tools earn their place. The count feels a bit heavy but not bloated.

Completeness4/5

Core workflows are covered: shelf discovery, generic and pass-based purchasing, order status, pass balance, and the main FX, freight, OFAC, and Texas CE data shelves. Minor gaps such as cancellation/refund endpoints, non-US sanctions lists, or additional freight jurisdictions do not block primary agent workflows.

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