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Flipvo: contractor licenses, business entities, drive times, airports

license_verify

Read-only

$0.05 per call. Pay with x402 (USDC on Base) in _meta["x402/payment"]; MPP (tempo) on the HTTP URL /v1/license/verify. Contractor license status plus matching business-entity record. Served states: FL, OR. Empty licenses is a paid 200.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
stateYes
license_numberNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
stateYes
licensesYes
data_as_ofYes
attributionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

This goes well beyond the readOnlyHint/openWorldHint/idempotentHint annotations: it discloses the exact price, payment path, HTTP URL, and the important edge case that 'Empty licenses is a paid 200.' The schema description adds that invalid bodies are refused before the 402 charge, which is valuable behavioral context for a paid tool.

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 information-dense: pricing, payment path, purpose, state coverage, and the empty-result edge case each get a single clause or sentence. No sentence is wasted, and the most operationally critical facts are front-loaded.

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?

The description covers payment, state scope, and result edge cases well, and an output schema exists to document return values. However, it lacks guidance on how to construct a valid request (parameter semantics) and does not position the tool relative to license_search, leaving meaningful gaps for an agent deciding how to call it.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it never explains the three parameters. The phrase 'Contractor license status plus matching business-entity record' weakly implies name/license_number identify the contractor, but it does not say whether they are alternatives, both required, or how they relate to the required state field.

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 description states the tool's core function: returning 'Contractor license status plus matching business-entity record,' and clarifies geographic scope with 'Served states: FL, OR.' However, it lacks an explicit verb and never differentiates itself from the sibling tool license_search, so it stops short of a 5.

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 usage context by naming the served states (FL, OR) and the mandatory payment mechanism (x402/MPP), so an agent knows whether it can use the tool. It does not mention alternative tools or explicitly state when to prefer license_search or entity_lookup, leaving some selection guidance implicit.

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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