get_node_context
Retrieve a node and its directly connected edges from the knowledge graph to understand its immediate context.
Instructions
Return a node and its immediate one-hop edges.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| identifier | Yes |
Retrieve a node and its directly connected edges from the knowledge graph to understand its immediate context.
Return a node and its immediate one-hop edges.
| Name | Required | Description | Default |
|---|---|---|---|
| identifier | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only states the basic function without disclosing whether it is read-only, any authentication requirements, or potential side effects. The description is insufficient for behavioral awareness.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It is appropriately concise for a simple tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has only one parameter and no output schema, the description provides the basic operation. However, the agent likely needs more context (e.g., return format, edge direction) to use it correctly, especially alongside sibling tools. It is minimally complete but not more.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, and the description adds no information about the required 'identifier' parameter. The agent must guess what format or type of identifier is expected (e.g., node ID, name). This is a critical gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns a node and its immediate one-hop edges, specifying both the resource (node and edges) and the scope (one-hop). This distinguishes it from sibling tools like get_blast_radius (multi-hop) and get_definitive_path (pathfinding).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. With multiple sibling tools for graph traversal, the agent would benefit from explicit conditions or exclusions, but none are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Raviraj2024/Agent-Context-Graph'
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