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search_contractor_license_snapshot

Search a SNAPSHOT of public contractor-licence data for one state: CA (CSLB), TX (TDLR contractors), FL (DBPR construction and electrical) or WA (L&I contractors). Give license_number, business_name (3+ characters), zip and/or county (CA, TX, FL; not WA); city narrows. limit 1-10. live_active_verified is always false -- confirm at the verify_url in every answer. Not a consumer report under the FCRA. States accepted: CA, TX, FL, WA; loaded now: CA, FL, TX, WA. A state not loaded yet answers state_unavailable.

Input Schema

NameRequiredDescriptionDefault
zipNo
cityNo
limitNo
stateYes
countyNo
business_nameNo
license_numberNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / county
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "County"
      +}
  2. Added

TDQS

A4/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden, and it discharges most of it: it discloses the snapshot (non-live) nature, that live_active_verified is always false, that the agent must confirm at verify_url in every answer, that results are not an FCRA consumer report, and how unloaded states respond. It does not state rate limits, data freshness/as-of date, or coverage completeness per state, so it falls one notch short of the top.

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

Conciseness4/5

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

Dense and front-loaded, putting the snapshot qualifier and state list first and the critical live_active_verified/FCRA caveats after the filter mechanics. The state enumeration appears twice ('States accepted' vs 'loaded now'), which is meaningful but reads as slight redundancy, and the telegraphic fragments cost a little readability.

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 7-parameter read tool with no output schema, the description covers the essentials an agent needs to call it correctly: filters, limits, per-state availability, and the required downstream step of confirming at verify_url. It does not sketch what a result record contains beyond verify_url/live_active_verified, nor the as-of date of the snapshot, which leaves non-critical gaps.

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

Parameters4/5

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 and largely does: business_name requires 3+ characters, county is valid for CA/TX/FL but not WA, city narrows, limit range is 1-10 over the schema default of 5, and state's accepted vs currently loaded values are spelled out. license_number and zip formats/match behavior are left undefined.

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?

States a specific verb and resource ('Search a SNAPSHOT of public contractor-licence data') and enumerates the four state sources with their registries (CSLB, TDLR, DBPR, L&I), which lets an agent distinguish it from the CA-only sibling search_cslb_bulk_snapshot without opening a schema. It stops short of explicitly naming that sibling or any other alternative.

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?

Gives concrete usage context: supply license_number, business_name (3+ chars), zip and/or county with the CA/TX/FL-only caveat, city narrows, limit 1-10, and a clear when-not via 'A state not loaded yet answers state_unavailable'. No routing guidance relative to the sibling tools such as search_cslb_bulk_snapshot or extract_web_context.

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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