list_available_nodes
List all node types available for building workflows. Use get_node_definitions for detailed schema.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | all |
List all node types available for building workflows. Use get_node_definitions for detailed schema.
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | all |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. 'List' strongly implies a non-mutating read, which is the key safety signal, but the description says nothing about the category filter's effect, result shape, or whether the list is paginated/complete. Adequate for a simple catalog read, thin given zero annotation coverage.
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?
Two sentences, zero waste, with the primary purpose front-loaded and the routing hint second. Ideal size for a simple listing 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?
No output schema exists, so the description should say more about what a 'node type' looks like in the response (name, id, category?) and that the category argument narrows results. It covers the core purpose but leaves the return shape and the sole parameter unexplained.
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 description coverage is 0% and the description never mentions the 'category' parameter or that results can be filtered. The enum values (input, generation, processing, output, utility, all) are largely self-explanatory, but an agent reading only the prose would not know filtering exists at all.
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?
States a specific verb and resource ('List all node types available for building workflows'), which is exactly distinguishable from the neighboring get_node_definitions. An agent can tell immediately this is the discovery/catalog call rather than the detailed-schema call.
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?
Explicitly routes the agent to the sibling tool: 'Use get_node_definitions for detailed schema.' That is a clear alternative and the condition that selects it. It stops short of a full when/when-not statement (e.g. no mention of when to prefer this over get_workflow_building_guide).
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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