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us-all

openmetadata-mcp-server

list-test-cases

List data quality test cases with filtering by entity link, test suite, pagination, and field projection to view specific metadata.

Instructions

List data quality test cases with filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoComma-separated fields to include
limitNoNumber of results per page
beforeNoCursor for backward pagination
afterNoCursor for forward pagination
entityLinkNoFilter by entity link (e.g. '<#E::table::service.db.schema.table>')
testSuiteIdNoFilter by test suite UUID
includeNoInclude deleted entitiesnon-deleted
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.
Behavior2/5

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

No annotations provided, so description carries full burden. It does not disclose pagination behavior, return format, or side effects. Only states basic listing functionality without behavioral details.

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?

Single sentence is concise and front-loaded with the core action. However, could be more structured with separate usage sections given the parameter richness.

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

Completeness2/5

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

Given no output schema and 8 optional parameters, the description fails to explain expected output, pagination cursor behavior, or how filtering parameters interact. Incomplete for agent decision-making.

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 descriptions for all 8 parameters. The tool description adds no additional meaning beyond 'filtering'; the schema already explains each parameter's purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List' and the resource 'data quality test cases' with filtering capability. It distinguishes from sibling tools like 'get-test-case' (single entity retrieval) and 'list-test-case-results' (results specific).

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 explicit guidance on when to use this tool versus alternatives (e.g., get-test-case vs list-test-cases). The description only mentions 'with filtering' but lacks context on common use cases or exclusion criteria.

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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