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listMemberSubCategoryLinks

Read-onlyIdempotent

Enumerate member-subcategory relationships with metadata like average price, specialty, and completion count. Filter by user or service to audit per-link details.

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: =, LIKE, >, <, >=, <=
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?

Annotations already mark the tool as readOnlyHint=true and idempotentHint=true. The description adds behavioral context: paginated enumeration with standard filter/sort, return format with all fields, and a detailed explanation of how member classification works (profession_id, services CSV, rel_services). It also clarifies internal naming conventions and the absence of certain tools.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is too long, including a full section on member classification and sub-sub-categories that, while informative, is not strictly necessary for tool usage. The core purpose and usage are front-loaded, but the extra details make it less concise than ideal.

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 simplicity (list with filter/pagination), the description fully covers usage: return format, filtering examples, behavior (read-only, paginated), and distinguishes from cheaper alternatives. It also provides background on the data model, ensuring the agent can correctly interpret results.

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?

Input schema has 7 parameters with 100% description coverage. The description provides context beyond the schema by explaining how to filter (by user_id, service_id) and that pagination/filter/sort are standard. This adds value, but the schema already does most of the work.

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 user-service relationships (MEMBER ↔ SUB CATEGORY links) with paginated enumeration, read-only. It distinguishes from sibling tools by mentioning getMemberSubCategoryLink, createMemberSubCategoryLink, listSubCategories, and updateUser as alternatives, and explains when each is appropriate.

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 'Use when' section describes auditing per-service-link metadata, and a dedicated paragraph compares this tool to the simpler users_data.services CSV field, specifying exactly when to use each. It also notes filtering by user_id or service_id and directs to alternative tools for other use cases.

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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