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read_workflow

Retrieve the raw JSON content of a workflow file from spark, enabling direct inspection or further processing of ComfyUI workflow definitions.

Instructions

Read a workflow JSON file from spark as raw text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesWorkflow filename, e.g. realism_illustrious_v50.json
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool reads a file 'as raw text' and specifies the source 'from spark', but does not mention potential errors, permissions, or side effects. The read-only nature is implied by the verb 'Read'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, clear sentence that directly states the tool's purpose, output format, and source. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with no output schema, the description adequately covers the core function and return format. It could be slightly richer by mentioning file-not-found behavior, but overall it is reasonably complete.

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 description coverage is 100% with the 'name' parameter described as a filename with an example. The description adds only 'from spark' context, which is marginal. Baseline of 3 is appropriate since the schema already handles parameter meaning.

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?

The description clearly states the specific action (read) and resource (workflow JSON file from spark), and distinguishes it from siblings like write_workflow and queue_workflow by emphasizing 'Read' and 'raw text'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives. Usage is implied by the name and sibling contrast, but no direct guidance or exclusions are given.

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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