Retrieve all workflows in the Rockfish AI platform to review, manage, and orchestrate machine learning and synthetic data tasks.
List all workflows
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "list_workflows"
}
}| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about scope (organization/project), pagination, ordering, or permissions. For a read-only listing tool the risk is low, but the description adds no behavioral context beyond the verb.
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?
A single short sentence with zero waste and the action front-loaded. It is terse to the point of being under-specified, but there is no padding or redundancy to penalize.
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 zero-parameter list tool with no output schema, little explanation is strictly required. However, it omits the scoping of the listing (global vs. active project) and any indication of result breadth, leaving the agent to guess.
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 tool takes zero parameters, so per the baseline there are no parameter semantics to document. The description correctly implies a parameterless enumeration.
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 gives a clear verb (List) and resource (workflows), so an agent immediately knows the operation. It does not differentiate from siblings like get_workflow, list_worker_sets, or create_workflow, though 'all' implies a bulk enumeration rather than a single fetch.
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?
There is no guidance on when to use this versus get_workflow or list_worker_sets, no stated prerequisites, and no exclusions. The agent must infer usage context entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.