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VelixarAi

Velixar MCP Server

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by VelixarAi

velixar_graph_traverse

Walk relationships from an entity to discover connections, with fuzzy matching and filtering by entity or relationship type.

Instructions

Walk relationships from an entity — "what connects to X?" Supports fuzzy entity matching, relationship and entity type filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoMax traversal depth / hops (default 2, max 10)
entityYesEntity name to traverse from
entity_typeNoFilter target nodes by entity type
relationship_typeNoFilter edges by relationship type
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only mentions support for fuzzy matching and filtering, ignoring safety (read-only vs destructive), performance (depth limit), or authentication needs.

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 two sentences, front-loading the core purpose. Every word is necessary and there is no redundancy.

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?

The description omits return value format (e.g., list of entities/relationships) and details on fuzzy matching behavior. Given the complexity of graph traversal and multiple sibling tools, more context is needed for effective tool selection.

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%, so the description contributes minimal added value beyond stating that the tool supports filtering on entity_type and relationship_type. The schema already documents default and max for depth.

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 the tool walks relationships from an entity using the phrase 'Walk relationships from an entity — what connects to X?'. It specifies support for fuzzy entity matching and filtering, distinguishing it from sibling tools like velixar_graph_search and velixar_graph_stats.

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

Usage Guidelines3/5

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

The description implies usage for exploring connections from a starting entity but provides no explicit when-to-use or when-not-to-use guidance. It does not mention alternative tools or exclusions.

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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