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god_nodes

Identifies the most connected core nodes in a knowledge graph, revealing key abstractions. Specify top N results and project path.

Instructions

Return the most connected nodes - the core abstractions of the knowledge graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
top_nNo
project_pathNoAbsolute path to a project directory containing graphify-out/graph.json. Optional — defaults to the graph this server was started with.
Behavior2/5

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

No annotations provided, so description carries full burden. It only states the output but fails to disclose algorithmic details of 'most connected', side effects, or required permissions.

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?

Extremely concise single sentence, front-loaded with purpose. However, it could be restructured to include brief parameter context without adding length.

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?

Given the tool's simplicity (2 optional params, no output schema, no annotations), the description is minimally adequate but lacks context on what 'most connected' means and how top_n affects results.

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?

Schema description coverage is 50% (top_n lacks description in schema). The tool description does not add any parameter meaning; it omits details on top_n semantics or project_path usage, leaving the agent uninformed.

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?

Description clearly states the tool returns the most connected nodes, identifying them as core abstractions of the knowledge graph. It uses a specific verb and resource, and distinguishes itself from siblings like get_node and get_neighbors.

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 on when to use this tool versus alternatives. Description lacks context about when to prefer god_nodes over get_community or graph_stats, and provides no exclusions or prerequisites.

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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