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alankyshum

Graphiti-Memory MCP Server

by alankyshum

get_entity_edge

Retrieve a specific relationship connection from the knowledge graph by providing its unique identifier to access stored entity connections.

Instructions

Get an entity edge by UUID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uuidYesUUID of the entity edge to retrieve
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. While 'Get' implies a read operation, it doesn't specify whether this requires authentication, has rate limits, returns null for missing UUIDs, or provides error details. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence that directly states the tool's function without unnecessary words. It's appropriately sized for a simple retrieval tool and front-loads the essential information immediately.

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 single-parameter read operation with no output schema, the description provides the minimum viable information about what the tool does. However, without annotations or output details, it doesn't fully address behavioral aspects like error handling or return format, leaving some context gaps despite the tool's simplicity.

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 100%, with the single parameter 'uuid' fully documented in the schema. The description adds no additional parameter semantics beyond what's already in the schema (e.g., format examples, validation rules, or edge cases), meeting the baseline for high schema coverage.

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 action ('Get') and resource ('entity edge by UUID'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'get_episodes' or 'search_memory_nodes', but the specific resource type (entity edge) provides adequate clarity for standalone understanding.

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 about when to use this tool versus alternatives. With siblings like 'get_episodes' and 'search_memory_nodes' available, the description doesn't indicate whether this is for retrieving specific edges by ID versus searching or listing operations, leaving the agent to infer usage context.

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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