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HefnySco

MCP Notes

by HefnySco

traverse_graph

Traverse a knowledge graph starting from any entity to find connected entities via relations, with configurable depth and direction.

Instructions

Traverse the knowledge graph from a starting entity to find connected entities via relations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startYesName of the entity to start traversal from
depthNoNumber of hops to traverse (default: 1)
directionNoDirection of traversal: out (outgoing relations), in (incoming relations), or both (default: both)both
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the basic action without disclosing behavioral traits such as what is returned (only entities or also relations?), traversal algorithm (BFS/DFS?), depth limits, performance characteristics, or side effects. This is insufficient for an agent to understand full behavior.

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 sentence with no superfluous words. It is efficiently front-loaded and gets straight to the point.

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?

Given the tool has three parameters, no output schema, and no annotations, the description should provide more context about return format, traversal behavior, and handling of cycles or large graphs. It is incomplete for a graph traversal operation.

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% with descriptions for all three parameters. The description does not add any additional meaning beyond what the schema already provides, so it meets the baseline but does not exceed it.

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 uses a specific verb 'traverse' and resource 'knowledge graph', specifying the action from a starting entity via relations. It distinguishes from siblings like 'read_graph' (full read) and 'search_nodes' (query-based) by focusing on connectedness traversal.

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 in the graph but does not explicitly state when to use this tool versus alternatives like 'search_nodes' or 'read_graph'. No guidance on prerequisites or exclusions is provided.

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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