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listMemberSubCategoryLinks

Read-onlyIdempotent

Retrieve member-sub category links along with per-link metadata such as average price, specialty, and completion count. Filter by member or sub category for targeted audit.

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
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
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds behavioral context: paginated, backed by BD's rel_services table, returns metadata per link (avg_price, specialty, num_completed, date), and explains the data model hierarchy. It does not contradict annotations. No rate limits or specific limitations are mentioned, but the description provides sufficient additional 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?

The description is somewhat verbose with extensive background on the data model and member classification. However, it is well-structured with clear sections ('Use when:', 'Returns:', etc.) and the core purpose is front-loaded. Every part provides valuable context, so it earns its length, though some trimming could be done without loss.

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?

Despite no output schema, the description fully explains the return structure and fields. It covers usage, alternatives, pagination, filtering, sorting, relationship to other tools (siblings, the simpler CSV field), and even addresses potential confusion about tool naming (no createProfession). This is comprehensive for a list tool.

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% with 7 parameters, all described in the schema. The description does not add much beyond the schema for parameters, but it mentions filtering by user_id and service_id, which aligns with property/property_value parameters. Baseline 3 is appropriate since schema carries the full burden.

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 starts with 'List user-service relationships - Paginated enumeration of MEMBER ↔ SUB CATEGORY links. Read-only.' This clearly states the verb (list), resource (MEMBER↔SUB CATEGORY links), and distinguishes it from siblings like getMemberSubCategoryLink (single link) and the simpler CSV field on users_data.

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?

Explicit usage guidance is provided: 'Use when: auditing per-service-link metadata...' and 'For simpler... the users_data.services CSV on the member record is cheaper.' It also explains when to use this resource vs. the CSV field and gives filtering advice by user_id or service_id.

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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