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listDataTypes

Read-onlyIdempotent

Retrieve all data types configured on your Brilliant Directories site to obtain valid data_type values needed for creating posts or portfolio groups.

Instructions

List data types - List all data types configured on this BD site. Use the data_id values as data_type parameters when creating posts or portfolio groups.

Use when: discovering the valid data_type values on the site. Used as a prerequisite lookup when creating posts or portfolio groups that need a data_type foreign-key value.

Pagination: cursor-based (limit, page). See Rule: Pagination for full cursor/cap/stop semantics.

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.

See also: getDataType (single record by ID).

Returns: { status: "success", total, current_page, total_pages, next_page, prev_page, message: [...records] }. Each record is the full resource object.

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
Behavior5/5

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

Annotations already indicate read-only, idempotent behavior. Description adds pagination details, filter/sort operators, and the response format, providing comprehensive behavioral context.

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

Conciseness5/5

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

Well-structured with clear sections: purpose, usage context, pagination, filtering, related tools, and response format. Every sentence adds value without redundancy.

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 7 parameters, no output schema, and complex pagination/filtering, the description covers all necessary aspects for correct invocation, including response structure and rule references.

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?

Schema coverage is 100%. Description explains parameter grouping (property+property_value+property_operator, order_column+order_type) and references external rules for operators, adding meaningful usage context beyond schema.

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 it lists data types and specifies that data_id values are used as foreign keys. Among siblings, getDataType retrieves a single record, making the distinction explicit.

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?

Explicitly states when to use (discovering valid data_type values) and references getDataType as an alternative for single-record lookup.

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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