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updateMemberSubCategoryLink

Idempotent

Update a member-subcategory link's metadata, including price, specialty, and completed count, by specifying the link's unique ID.

Instructions

Update a user-service relationship - Update a Member ↔ Sub Category link by rel_id. Fields omitted are untouched. Writes live data.

Use when: adjusting per-link metadata - member's price for this service, specialty flag, completion counter.

Required: rel_id.

Updatable fields: avg_price, specialty, num_completed, date.

See also: createMemberSubCategoryLink (add new), deleteMemberSubCategoryLink (remove).

Returns: { status: "success", message: {...updatedRecord} }.

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
rel_idYes
avg_priceNo
specialtyNo
num_completedNo
dateNoFormat: `YYYYMMDDHHmmss` in the site's timezone. BD silently truncates other formats, corrupting the value. Optional — omit unless backfilling historical data.
_clear_fieldsNoColumn names to clear to empty string. Available on every `update*` operation. Works on base columns AND EAV/`users_meta` rows (rows preserved with `value=""`). To actually clear a field you MUST use this parameter — sending the field with `""` alone is a no-op (BD drops empty values). To remove a `users_meta` row entirely, use `deleteUserMeta`. See **Rule: Clearing fields**. Example: `_clear_fields: ["h2", "hero_link_url"]`.
Behavior4/5

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

The description explains that omitted fields are untouched and that writes affect live data, consistent with the idempotentHint and openWorldHint annotations. It also details the behavior of `_clear_fields`, which is critical for understanding updates. 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.

Conciseness3/5

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

The description is verbose, including lengthy contextual digressions about member classification and sub-sub-categories that are tangential to the tool's core purpose. The first paragraph is concise, but the extraneous information could be trimmed without losing essential guidance.

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

Completeness4/5

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

Given the 6 parameters and no output schema, the description provides a detailed return format and a rule for clearing fields. It also explains the data model context, aiding understanding of when this tool applies. Minor gaps: no mention of error handling or rate limits.

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 only 33% schema description coverage, the description compensates by explaining all updatable parameters (`avg_price`, `specialty`, `num_completed`, `date`) and providing a thorough explanation of `_clear_fields`. It adds meaningful context beyond the schema's basic type definitions.

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 opens with 'Update a user-service relationship - Update a Member ↔ Sub Category link by `rel_id`', clearly stating the verb (update) and resource (a specific link). It explicitly distinguishes from sibling tools like `createMemberSubCategoryLink` and `deleteMemberSubCategoryLink`, which are listed under 'See also'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context with 'Use when: adjusting per-link metadata' and lists the exact updatable fields. It also points to alternative tools for creating and deleting. However, it does not explicitly state when not to use this tool, though the context is sufficient for most 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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