pack_workspace_subgraph

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

With no annotations to rely on, this description carries the full burden of behavioral disclosure—and excels. It states the tool 'acts on the graph on screen' and that IDs do not survive in either direction, complete with concrete before/after examples (144/145 reused as 158/159). It also reveals the call order semantics (unpack before packing) and how invalid inputs are 'refused by litegraph', demonstrating deep transparency.

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?

Though lengthy, the description earns its length: it's organized into short, scannable paragraphs with a clear logical flow (purpose → scoping → parameter nuances → caveats). The Args section is neatly formatted. Every sentence adds informative value, and the structure supports quick comprehension for an AI agent.

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?

For a tool with no annotations and a generic schema, the description is remarkably complete. It covers edge cases (nested subgraphs, ID invalidation), specifies preconditions (call navigate_workspace first), details interactions with undo, and explicitly contrasts with a sibling operation that does not exist. No obvious gaps remain for an agent to misuse the tool.

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?

The schema provides zero parameter descriptions, so the tool's Args section becomes critical. It explains that 'pack' expects node/group IDs and mentions what gets refused, 'unpack' identifies subgraph nodes to dissolve, and 'client_id' determines the target browser tab. This adds essential semantics beyond the bare union types in the schema.

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 opens with a precise verb-resource pairing: 'Wrap nodes and groups into a new subgraph, or dissolve one back out.' It immediately distinguishes the dual packing/unpacking behavior and grounds it in ComfyUI's 'Convert to Subgraph' and 'Unpack' concepts, making the tool's purpose unmistakable even to an agent familiar with the UI.

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?

Explicit usage guidance is woven throughout: 'Use navigate_workspace first when the nodes are a level down' and 'This is not the same as moving a node into a subgraph that already exists...' The description clarifies when to use this tool over alternatives and even explains the workaround for a missing operate-on-existing-subgraph feature. It also sets expectations with 'One call is one Ctrl+Z'.

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