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dnanatihor

Epistemic Envelope

by dnanatihor

get_quality

get_quality
Read-only

Retrieve certified data-quality findings for a single asset by asset_id, so catalog teams can verify quality claims with labeled evidence.

Instructions

Return certified data-quality findings for one asset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYes
attributesNo
ai_inferencesNo
curated_metadataNo
envelope_versionYes
governance_noticeNo
certified_findingsNo
inference_permittedYes
profiling_observationsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

readOnlyHint=true already establishes this as a safe read. The description adds that only 'certified' findings are returned, which is a useful filter beyond the annotation, but it says nothing about freshness, caching, or what happens when an asset has no certified findings.

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?

One tight sentence with the resource and scope front-loaded and no filler. It is efficient, though the brevity is partly why parameter detail is missing.

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?

For a one-parameter read tool with an output schema, the description is minimally adequate. It still leaves asset_id semantics and the tool's relationship to sibling asset tools unexplained.

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

Parameters2/5

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

The single parameter asset_id has 0% schema description coverage, and the description does not clarify its expected format or source (e.g., ID from list_assets). With low coverage the description should compensate but does not.

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?

States a specific verb+resource ('Return certified data-quality findings') with clear scope ('for one asset'). It does not differentiate itself from siblings like get_asset_profile or describe_asset, so it falls short of a 5.

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?

There is no when-to-use guidance, no mention of alternatives among the sibling tools, and no stated prerequisites. The agent must 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.