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listMemberSubCategoryLinks

Read-onlyIdempotent

List member-subcategory links with per-link metadata such as average price, specialty, and completion count. Filter by user or service to audit pricing and specialty flags across directory members.

Instructions

List user-service relationships - Paginated enumeration of MEMBER ↔ SUB CATEGORY links. Read-only.

Each record links a member (user_id) to a Sub Category (service_id) with per-link metadata: avg_price, specialty, num_completed, date. This is level 3 of the member-taxonomy relationship. Backed by BD's rel_services table.

Use when: auditing per-service-link metadata (prices, specialty flags, completion counts) across members. Filter by user_id to see one member's links, service_id to see everyone offering that service. For simpler "is this member tagged with this sub-cat" checks, the users_data.services CSV on the member record is cheaper.

When to use this vs. the simpler users_data.services CSV field: use this resource when you need PER-LINK metadata (pricing tier, specialty flag, completion counter). If you just want "this member is tagged with these Sub Categories" with no extra data, set updateUser.services (CSV of service IDs) instead.

Pagination + filter/sort: standard.

See also: getMemberSubCategoryLink, createMemberSubCategoryLink, listSubCategories (available Sub Categories), updateUser (sets the services CSV for simpler cases).

Returns: { status: "success", ..., message: [...records] }. Each has rel_id, user_id, service_id, date, avg_price, num_completed, specialty.

How a member gets classified on their public profile:

  • users_data.profession_id -> points at a single Top Category (the member's primary classification; shown in URL slug)

  • users_data.services -> CSV of Sub Category IDs the member is tagged with (multiple allowed; simpler than the join table)

  • rel_services rows (Member ↔ Sub Category links) -> used when you need per-link metadata like avg_price, specialty, num_completed. Optional; most sites use just the CSV field.

Sub-sub-categories: createSubCategory with master_id=<parent service_id> creates a Sub Category nested under another Sub Category (a "sub-sub"). master_id=0 (default) means the Sub Category sits directly under a Top Category (the profession_id).

There is NO createProfession or createService tool in this MCP — those are BD's internal table names. Use createTopCategory / createSubCategory instead (BD's table-name → tool-name mapping is documented in Rule: Table to endpoint).

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
order_columnNoColumn to sort by — a column key present on the response rows (a wrong name silently returns empty)
property_valueNoValue to filter by; array to pair with a `property` array (same length).
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.
Behavior5/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, destructiveHint. The description adds context by stating 'Read-only', explaining pagination and filter/sort behavior as 'standard', and detailing the return format with fields like rel_id, user_id, service_id, etc. It also describes the underlying table (rel_services) and how it fits into the broader classification system, which helps the agent understand implications.

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 lengthy but well-structured with clear sections: purpose, use-cases, pagination, return format, business context. Every sentence adds value, though some tangential details about sub-sub-categories and table mapping could be streamlined. It is front-loaded with the core purpose.

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 complexity (7 parameters, no output schema), the description provides a complete picture: it explains the return format with all fields, pagination, filtering options, and the business context of how member classification works (profession_id, services CSV, rel_services). It also clarifies relationships with sibling tools and internal table mappings.

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 coverage is 100%, so baseline is 3. The description adds value by giving example use cases for filtering: 'Filter by user_id to see one member's links, service_id to see everyone offering that service.' It also warns about wrong property names silently returning empty, which is beyond the schema. This justifies a score above baseline.

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 user-service relationships - Paginated enumeration of MEMBER ↔ SUB CATEGORY links. Read-only.' It specifies the verb (list), resource (membership links), and scope (paginated, read-only). It distinguishes from sibling tools like getMemberSubCategoryLink (single item) by indicating this is a list endpoint.

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 explicitly provides when-to-use scenarios: 'Use when: auditing per-service-link metadata... For simpler checks, the users_data.services CSV is cheaper.' It also contrasts with updateUser for simpler cases and references sibling tools like getMemberSubCategoryLink, createMemberSubCategoryLink, listSubCategories. This gives clear guidance on alternatives.

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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