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yangkyeongmo

MCP Server for OpenMetadata

by yangkyeongmo

get_data_quality_report

Obtain a data quality report with aggregations and filters to assess data quality in OpenMetadata.

Instructions

Get data quality report with aggregations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
aggregation_queryNo
indexNo
Behavior1/5

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

No annotations are provided, and the description fails to disclose any behavioral traits such as side effects, permissions required, or whether the operation is read-only. It carries the full burden but offers no insight beyond the basic function.

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

Conciseness2/5

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

The 6-word description is extremely concise but at the cost of being under-specified. It fails to provide enough information to be useful, crossing from conciseness into inadequacy.

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

Completeness1/5

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

With 3 optional parameters, no output schema, no annotations, and no behavioral context, the description is woefully incomplete. An agent cannot understand what the tool returns, how to use parameters, or any constraints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 3 parameters (q, aggregation_query, index) with 0% schema description coverage and no explanations in the description. The description adds no meaning beyond the parameter names, leaving the agent to guess their roles.

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 tool retrieves a data quality report with aggregations. However, it does not differentiate this from other get_* tools that might also return reports or aggregations, such as search_aggregate or get_test_suite_execution_summary.

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?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent to infer usage from the name alone.

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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