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dbt-list-exposures

List dbt exposures to discover downstream consumers such as dashboards, applications, and ML models defined in YAML.

Instructions

List dbt exposures (downstream BI/ML/application consumers declared in YAML)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
searchNoSubstring match against exposure name
exposureTypeNoFilter by type (dashboard | application | ml | analysis | notebook)
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
Behavior3/5

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

With no annotations, the description holds the burden for behavioral disclosure. It correctly identifies the tool as a read operation (list), but does not elaborate on pagination behavior, impact of the 'limit' parameter, or whether authentication is required. Minimal but acceptable for a simple list tool.

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?

The description is a single, clear sentence with no extraneous words. It efficiently conveys the core purpose.

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

Completeness3/5

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

The description covers the basic purpose but is lacking in completeness. It does not hint at the output structure (e.g., list of exposure objects with properties), nor does it explain how the 'search', 'exposureType', or 'extractFields' parameters work. Given no output schema, more context would be beneficial.

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 description coverage is 75% (3 of 4 parameters have descriptions in the input schema). The tool description adds no additional information about parameters beyond what the schema already provides. Baseline is 3 due to high coverage.

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 action ('List'), the resource ('dbt exposures'), and provides context that they are downstream consumers declared in YAML. This distinguishes it from sibling tools like dbt-list-models or dbt-list-sources.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives (e.g., dbt-list-models, dbt-graph). There is no mention of prerequisites, typical use cases, or situations where it should be avoided.

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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