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interzoid_company_and_address_match

Read-onlyIdempotent

Business location deduplication: generates one combined AI-powered similarity key from a company name plus a street address. Records with the same key share both a similar company name and a similar address, for matching business locations across vendor, supplier, and account datasets. Cost: $0.01 USDC via x402.

Input Schema

NameRequiredDescriptionDefault
addressYesFull street address (US or international)
companyYesCompany or organization name

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / address / examples
      Added value: +[
      +  "1 New Orchard Road"
      +]
    • addedInput schema / properties / company / examples
      Added value: +[
      +  "IBM"
      +]
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, open-world, and non-destructive behavior. The description adds meaningful context beyond annotations, including the AI-powered key semantics and the $0.01 USDC x402 cost, though it does not describe payment flow, rate limits, or exact return shape.

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: purpose, combined-key semantics, use cases, and cost appear in three efficient sentences. There is no redundant restatement of the tool name.

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 read-only matching tool with full schema descriptions and rich annotations, the definition is largely complete. The only small gap is that it does not explain the returned key format or how matching thresholds work, though no output schema exists.

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 both parameters are already documented. The description reinforces that company and address are combined into one similarity key, but it adds little format or syntax detail 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 states a specific verb and resource: generating a combined similarity key for business location deduplication from company name plus street address. It clearly distinguishes this tool's scope from address-only or company-only matching siblings by emphasizing the combined company+address key.

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?

It gives clear usage context: matching business locations across vendor, supplier, and account datasets. However, it does not explicitly name alternatives such as address-only matching, company-only matching, or advanced match-score tools, nor does it state when not to use this tool.

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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