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listUsers

Read-onlyIdempotent

Get a paginated list of all members with filtering by user fields and sorting. Use for reports, CSV exports, and bulk status updates.

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: =, LIKE, >, <, >=, <=; 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): multi-value meta filtering IS supported via the array syntax - e.g. property[]=<meta_key>&property_value[]=foo&property[]=<meta_key>&property_value[]=bar&property_operator[]=OR&property_logic[]==. Use this for OR-across-meta-values lookups (e.g. members whose custom field equals any of N options).

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
include_passwordNoOpt in to return bcrypt `password` hash. Default stripped.
include_subscriptionNoOpt in to return full `subscription_schema` (60+ plan fields). Default: `subscription_id` only.
include_clicksNoOpt in to return `user_clicks_schema.clicks` array. Default: `total_clicks` count surfaced only when > 0; absent means zero clicks.
include_photosNoOpt in to return `photos_schema` array. Default: `total_photos` count only (`image_main_file` URL always returned).
include_transactionsNoOpt in to return full `transactions` invoice array. Default stripped (`revenue` rollup always returned).
include_professionNoOpt in to return `profession_schema` (category metadata). Default: `profession_id` only.
include_tagsNoOpt in to return `tags` array. Default stripped.
include_servicesNoOpt in to return `services_schema` sub-category array. Default stripped.
include_seo_hiddenNoOpt in to return SEO meta fields (`seo_page_*_hidden`, `seo_social_*_hidden`, `search_description`). Default stripped.
include_aboutNoOpt in to return the `about_me` HTML bio. Default stripped.
include_legacy_fieldsNoReturn image-import state on `photos_schema` rows: `original`, `resized`, `error`. Requires `include_photos=1`.
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.
limitNoRecords per page (default 25, max 100)
pageNoPagination cursor (use next_page from previous response)
propertyNoField name to filter by
property_valueNoValue to filter by
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. See Rule: Filter operators for value shapes.
order_columnNoColumn to sort by
order_typeNoSort direction: ASC or DESC
Behavior5/5

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

The description goes beyond annotations (readOnlyHint, idempotentHint) to detail behavioral traits such as lean-by-default response with include flags, cursor-based pagination, filter property rules (use actual field names), error message behavior, and derived-field unfilterability. No contradiction with annotations.

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?

The description is well-structured with sections and front-loads the core purpose, but it is quite verbose with multiple paragraphs. Some information could be condensed, but the structure aids readability.

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 19 parameters, complex pagination and filtering, and no output schema, the description is exceptionally complete. It covers edge cases like filter property validation, profession ID mapping, meta array syntax, payment method field, and profile URL construction.

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, the description adds substantial meaning beyond the schema. It explains the lean keep-list, the behavior of each include_* flag, filter operators, pagination cursor, profession_id vs category name, meta filtering, and card_info field semantics.

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 'List members/users' with pagination and filtering. It distinguishes itself from siblings by explicitly naming alternatives like searchUsers (keyword search) and getUser (single by ID), and provides specific use cases like reports and CSV exports.

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?

The description provides explicit guidance on when to use this tool (e.g., enumerating members, reports, filtering by email) and what not to use it for (e.g., listing cities via listCities). It also directs users to alternative tools like searchUsers, getUser, and listCities with clear explanations.

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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