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Glama

get_node_definition

Retrieves schema and documentation for a specified ontological node kind, such as Workspace, Project, File, or Endpoint, so you can understand its structure and usage.

Instructions

Get schema and documentation for a specific ontological Node Kind.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "kind": "<kind>"
    },
    "name": "get_node_definition"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindYesNode kind name (e.g. 'Workspace', 'Project', 'File', 'Endpoint').

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.80.5

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the whole burden, and a single sentence is thin. It implies a read of schema/docs but says nothing about behavior for an unknown or misspelled kind, whether the payload is static or generated from the indexed workspace, or how large the response is.

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?

One front-loaded sentence with no filler or redundancy. Its terseness is efficient, though it leaves little room for the context an agent needs.

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 trivial one-parameter read tool this is close to adequate, and it does signal that both a schema and documentation are returned. With no output schema and no annotations, though, the agent still learns nothing about result shape or failure modes.

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% and the single 'kind' parameter already documents its format with examples ('Workspace', 'Project', 'File', 'Endpoint'). The description adds no case-sensitivity, aliasing, or validation semantics beyond that, so the baseline 3 applies.

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?

States a specific verb ('Get') and resource ('schema and documentation for a specific ontological Node Kind'), which tells an agent exactly what the call yields. It does not differentiate from the adjacent discovery tools such as get_taxonomy, so it stops short of a 5.

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?

There is no indication of when to reach for this tool versus get_taxonomy or get_architecture_map, and no stated prerequisites or follow-up usage. The agent must infer the context from the resource name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.