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nodered-mcp

by ylt

update_flows

Apply a deployment type to all Node-RED flows. Input the flow configuration JSON to deploy with full, nodes, flows, or reload.

Instructions

Update all flows with deployment type.

Args: flows_json: Flow configuration as JSON string deployment_type: Deployment type - valid values: full, nodes, flows, reload (default: full)

Returns: Confirmation message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flows_jsonYes
deployment_typeNofull

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states that this is an update operation and returns a confirmation message, but it does not describe side effects, potential destructive impact, required permissions, or how deployment_type values affect behavior. For a batch-update tool, this is a significant transparency gap.

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?

The description is short, front-loaded with the core purpose, and contains only necessary sections (Args and Returns). There is no redundant or vague filler.

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?

With only 2 parameters and an output schema present, the tool is relatively simple, but the description omits usage context, definitions of the deployment_type values, and potential side effects of updating all flows. It is minimally viable but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description compensates with an Args block: flows_json is described as a flow configuration JSON string, and deployment_type lists valid values (full, nodes, flows, reload) and the default. This adds meaning beyond the raw schema.

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 uses a specific verb ('Update') and clearly identifies the resource and scope: all flows, with a deployment type. This distinguishes it from siblings like update_flow (singular) and patch_flow.

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 explicit guidance on when to use this tool versus update_flow or patch_flow. The phrase 'all flows' implies a batch operation, but no alternatives, prerequisites, or exclusions are mentioned.

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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