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listUsers

Read-onlyIdempotent

Paginate through directory members with filters by user fields and sorting. Retrieve lean user profiles and opt-in additional data like subscriptions, photos, and services.

Instructions

List members/users - Get a paginated list of all members. Supports filtering by any user field and sorting.

Lean-by-default keep-list: rows return only identity + routing + location core: user_id, first_name, last_name, email, company, phone_number, subscription_id, profession_id, active, status, city, state_code, country_code, filename, image_main_file, signup_date, last_login, modtime. Everything else stripped — restore via flags: include_password=1, include_subscription=1 (full subscription_schema), include_clicks=1 (full click array), include_photos=1 (full photos_schema), include_transactions=1, include_profession=1 (profession_schema), include_tags=1, include_services=1 (services_schema), include_seo_hidden=1, include_about=1 (about_me HTML bio), include_legacy_fields=1 (image-import state on photos, requires include_photos), include_extras=1 (everything else — billing/analytics rollups like revenue/card_info/total_clicks/total_photos, duplicate location fields state_ln/country_ln/full_name/user_location/zip_code/lat/lon, plus social URLs, awards, credentials, position, quote, work_experience, rep_matters, cv, gmap, no_geo, user_consent, sign_up_origin, listing_type, profession_name, ref_code, booking_link, bitly, cookie, token, verified, featured, parent_id, clientid, etc.).

Use when: enumerating members for reports, CSV exports, bulk status updates, analytics, or pagination through the full member base. Also used for lookups by field - pass property=email + property_value=<email> to find a single user by email. For keyword/text search use searchUsers; for a single user by known user_id use getUser. Do NOT bulk-list users to enumerate cities the site has on file — use listCities (lean, BD-curated, surfaces only cities where members exist).

Pagination: cursor-based. Pass limit (default 25, max 100) and page token from the previous response's next_page. Do not assume integer offsets.

Filter/sort: property+property_value+property_operator, order_column+order_type. See Rule: Filter operators for the verified-working operator set, silent-drop detection, and derived-field unfilterability.

Enums: property_operator: word-forms (eq, ne, lt, lte, gt, gte, like, in, contains, date/length/null ops) — see Rule: Filter operators; order_type: ASC, DESC.

Filter-property rule - use ACTUAL field names: property must reference a real column on users_data or a valid custom user field. If you don't know what's filterable, call getUserFields first - it returns the authoritative list for this site (includes custom fields). BD returns misleading errors like "user not found" when property names a nonexistent field - that is a BAD FILTER, not a 404 on the endpoint. Do not invent properties like user_group (not a real column).

Filtering by TOP CATEGORY (profession): the filter column is profession_id (integer), not a category name string. If the caller gives you a category name, chain: (1) listTopCategories -> find the row whose name matches; (2) grab its profession_id; (3) call listUsers with property=profession_id&property_value=<id>. Same principle for any taxonomy filter - resolve names to IDs first via listSubCategories, listMembershipPlans, etc. For sub-category filtering on users, the authoritative approach is listMemberSubCategoryLinks filtered by service_id -> collect user_ids -> fetch those users. (There is also a service CSV column on user records but exact-match filtering on it requires the complete CSV value and LIKE syntax support is not guaranteed - prefer the link-table route.)

Filtering by users_meta (custom/meta fields): for one custom field matching any of N values, use property=<meta_key> property_value=v1,v2,v3 property_operator=in (CSV, one field). For a custom field AND another condition, use equal-length parallel arrays — see Rule: Compound filters. BD ANDs array conditions; there is no OR operator.

Payment-method field (under include_extras=1): card_info is false when no card is on file (BD's convention), or an object with last4/brand/name when a card IS stored. Check card_info && card_info.last4 (truthy-guard). Authoritative signal for "does this member have a valid payment method on file" — do not infer from subscription_id alone.

See also: getUser (single record by ID), searchUsers (keyword search), getUserFields (list filterable fields).

Returns: { status: "success", total, current_page, total_pages, next_page, prev_page, message: [...records] }. Each record is lean-shaped per the keep-list above.

Profile URL: every user record has a filename field. To get the full public profile URL, concatenate: <site-domain>/<user.filename>. The filename is the complete relative path (e.g., united-states/monterey-park/doctor/harrison-hasanuddin-d-o) - DO NOT prepend /business/, /profile/, /member/, or any other segment. BD's router resolves filename verbatim.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPagination cursor (use next_page from previous response)
limitNoRecords per page (default 25, max 100)
propertyNoColumn key to filter by (present on the response rows; a wrong name silently returns empty). For multi-condition AND, pass parallel arrays here and in `property_value`/`property_operator` — equal length, Nth entries paired. See Rule: Compound filters.
order_typeNoSort direction: ASC or DESC
include_tagsNoOpt in to return `tags` array. Default stripped.
order_columnNoColumn to sort by — a column key present on the response rows (a wrong name silently returns empty)
include_aboutNoOpt in to return the `about_me` HTML bio. Default stripped.
include_clicksNoOpt in to return `user_clicks_schema.clicks` array. Default: `total_clicks` count surfaced only when > 0; absent means zero clicks.
include_extrasNoOpt in to return ALL remaining fields on this resource that are not in the lean-by-default keep-list and not gated by another `include_*` flag. Lean default returns only the core identity, routing, and load-bearing fields. `include_extras=1` restores everything else (geo, all hero_*, layout/sidebar/menu config, all display toggles, admin metadata, etc.). Resource-specific — see each tool's description for what the extras bundle contains.
include_photosNoOpt in to return `photos_schema` array. Default: `total_photos` count only (`image_main_file` URL always returned).
property_valueNoValue to filter by; array to pair with a `property` array (same length).
include_passwordNoOpt in to return bcrypt `password` hash. Default stripped.
include_servicesNoOpt in to return `services_schema` sub-category array. Default stripped.
property_operatorNoFilter operator (word-form; symbol forms WAF-stripped). Single: eq, ne, lt, lte, gt, gte, like, not_like. CSV: in, not_in, between. Substring: contains, starts_with, ends_with (+not_). Date: year_eq, month_eq, day_eq (+not_), since_days, until_days. Length: length_eq, length_lt, length_gt, length_between. Null: is_set, is_not_set, is_null, is_not_null. Array to pair with a `property` array (same length). See Rule: Filter operators for value shapes.
include_professionNoOpt in to return `profession_schema` (category metadata). Default: `profession_id` only.
include_seo_hiddenNoOpt in to return SEO meta fields (`seo_page_*_hidden`, `seo_social_*_hidden`, `search_description`). Default stripped.
include_subscriptionNoOpt in to return full `subscription_schema` (60+ plan fields). Default: `subscription_id` only.
include_transactionsNoOpt in to return full `transactions` invoice array. Default stripped (`revenue` rollup always returned).
include_legacy_fieldsNoReturn image-import state on `photos_schema` rows: `original`, `resized`, `error`. Requires `include_photos=1`.
Behavior5/5

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

Beyond annotations (read-only, idempotent), description reveals lean-by-default behavior, pagination cursor-based, filter error handling (silent drops, BD misleading errors), and specifics like card_info field behavior. Adds substantial context.

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?

While long, the description is well-structured with sections and bullet points, front-loading purpose and then providing necessary details. Every sentence adds value; no redundancy given complexity. Could be slightly more terse but effective.

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

Completeness5/5

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

Given the tool's complexity (19 parameters, extensive filtering), the description is complete: covers pagination, filtering, sorting, field selection, error handling, related tools, and even profile URL construction. No gaps identified.

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

Parameters5/5

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

With 100% schema coverage, baseline is 3. The description adds significant value by detailing which include flags restore which fields, explaining filter operator usage, compound filter arrays, and profile URL construction, far exceeding schema descriptions.

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 clearly states the tool lists members/users with pagination, filtering, and sorting. It distinguishes itself from sibling tools like searchUsers and getUser by specifying their appropriate use cases.

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?

Explicitly provides when to use (reports, exports, bulk updates) and when not to (enumerating cities). Mentions alternatives searchUsers, getUser, and listCities. Also guides on resolving filter values via other tools.

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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