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apache-atlas-mcp

by DanMeon

get_lineage_by_attribute

Retrieve data lineage using a unique attribute like qualifiedName when GUID is unknown. Specify entity type, attribute, value, direction, and depth to trace upstream, downstream, or both.

Instructions

Get lineage for an entity identified by a unique attribute.

Same as get_lineage but uses a unique attribute (like qualifiedName) instead of a GUID. Convenient when you know the entity's name but not its GUID.

Args: type_name: Entity type (e.g., "hive_table"). attribute_name: Unique attribute name (typically "qualifiedName"). attribute_value: The attribute value to match. direction: "INPUT" (upstream), "OUTPUT" (downstream), or "BOTH". depth: How many hops to traverse (default: 3, max: 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
type_nameYes
attribute_nameYes
attribute_valueYes
directionNoBOTH
depthNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It describes parameter behavior (defaults, max depth) but does not state that the operation is read-only or other potential side effects.

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 highly concise: a one-sentence purpose, a brief comparison with sibling tool, and a clear parameter list. Every sentence adds value.

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 an output schema exists (not shown), the description fully explains the tool's purpose, parameter semantics, and relationship to sibling tools. No gaps remain.

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?

With 0% schema description coverage, the description compensates fully by explaining each parameter in detail, including direction enum values and depth default/max.

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 'Get lineage for an entity identified by a unique attribute' and distinguishes itself from get_lineage by specifying it uses an attribute instead of a GUID.

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

Usage Guidelines4/5

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

It explicitly says 'Same as get_lineage but uses a unique attribute... Convenient when you know the entity's name but not its GUID,' providing clear when-to-use context. No exclusions are given.

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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