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bbb_scamtracker_search

Search Better Business Bureau Scam Tracker reports by keyword, scam type, state, date, or dollar loss to find consumer-reported scam incidents. Paginated public data.

Instructions

Search Better Business Bureau Scam Tracker reports. Searches bbb.org Scam Tracker's consumer-reported-scam database by free-text query, scam category, targeted-victim state/province, reported-scammer state/province, report-date range, and/or dollar-loss range, paginated 10 results/page. Omit every filter to browse the most-recent-first feed. Credential-free public Better Business Bureau data. This is a separate BBB dataset from the bbb-search/bbb-business/bbb-business-complaints business-rating family -- consumer-reported scam incidents, not business ratings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoResult page (10 per page), default 1
queryNoFree-text search (phone number, website, email, business name, scam ID, description). Omit to browse the most-recent feed
stateNoOptional 2-letter targeted-victim state/province code (US state or Canadian province)
date_toNoOptional report-date range end (YYYY-MM-DD), inclusive. Must be set together with date_from
date_fromNoOptional report-date range start (YYYY-MM-DD), inclusive. Must be set together with date_to
scam_typeNoScam category filter
scammer_stateNoOptional 2-letter reported-scammer state/province code (US state or Canadian province) -- where the scammer is reported to be, not the victim
max_dollars_lostNoOptional maximum reported dollar loss. Must be set together with min_dollars_lost
min_dollars_lostNoOptional minimum reported dollar loss. Must be set together with max_dollars_lost

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.17.5
    • addedInput schema / properties / scam_type / enum
      Added value: +[
+  "Advance Fee Loan",
+  "Bank/Credit Card Company Imposter",
+  "Business Email Compromise",
+  "Charity",
+  "Counterfeit Product",
+  "COVID-19",
+  "Credit Cards",
+  "Credit Repair/Debt Relief",
+  "CryptoCurrency",
+  "Debt Collections",
+  "Employment",
+  "Fake Check/Money Order",
+  "Fake Invoice/Supplier Bill",
+  "Family/Friend Emergency",
+  "Foreign Money Exchange",
+  "Government Agency Imposter",
+  "Government Grant",
+  "Healthcare/Medicaid/Medicare",
+  "Home Improvement",
+  "Identity Theft",
+  "Investment",
+  "Moving",
+  "Online Purchase",
+  "Other",
+  "Phishing",
+  "Rental",
+  "Retail Business",
+  "Romance",
+  "Scholarship",
+  "Sweepstakes/Lottery/Prizes",
+  "Tax Collection",
+  "Tech Support",
+  "Travel/Vacation/Timeshare",
+  "Utility",
+  "Vanity Award",
+  "Worthless Problem-solving Service",
+  "Yellow Pages/Directories"
+]
  2. Addedv1.16.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses credential-free access ('Credential-free public Better Business Bureau data'), pagination ('10 results/page'), and default ordering ('most-recent-first feed'). It does not cover rate limits or output shape, but for a read-only search tool the key behavioral traits are present.

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?

Four sentences, front-loaded with the purpose, then filters, then default behavior, then data-source/differentiation. No filler or repetition; every clause contributes.

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 9-param, no-output-schema, no-annotation tool, the description covers identity, auth, filter semantics, pagination, and default ordering. It is incomplete only about the return structure (fields, total count) since no output schema exists, and page caps/rate limits are absent. Still, an agent has enough to invoke it correctly for most search tasks.

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 baseline is 3. The description adds light grouping of the filter dimensions and the browse-all behavior when filters are omitted, but the schema already explains each parameter including the victim/scammer state distinction and paired date/dollar constraints. No significant semantic boost 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?

States a specific verb and resource: 'Search Better Business Bureau Scam Tracker reports.' It enumerates the searchable dimensions (free-text, scam category, state/province, date range, dollar loss) and explicitly distinguishes this from the bbb business-rating family, so an agent can tell it apart from bbb_search/bbb_business/bbb_business_complaints.

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

Usage Guidelines5/5

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

Provides clear use context: search the consumer-reported scam database with filters, plus explicit browsing behavior when omitting all filters ('most-recent-first feed'). It also gives an explicit when-not, stating this is a separate dataset from the business-rating family and naming bbb-search/bbb-business/bbb-business-complaints as the alternative family. This is explicit exclusion plus alternative routing.

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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