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ylt

nodered-mcp

by ylt

visualize_flows

Visualize Node-RED flow structure as Markdown, listing node counts and types per tab for a clear breakdown.

Instructions

Visualize flow structure as markdown with per-tab breakdown.

Returns: Markdown-formatted flow structure showing node counts and types per tab.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses the return format (markdown) and content (node counts and types per tab), which is useful. However, with no annotations provided, it does not explicitly state that the operation is read-only, mention permissions, or describe any side effects. It offers minimal but adequate behavioral context for a visualization tool.

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 exceptionally concise, using two short sentences to convey the purpose and return format. It is front-loaded with the core verb and resource, and every word earns its place with no redundancy.

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

Completeness5/5

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

For a tool with no parameters and an existing output schema, the description completely covers what the tool does and what it returns. It specifies the exact output format (markdown) and the breakdown details (node counts and types per tab), making it self-sufficient for an agent to invoke and interpret results.

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?

The input schema has no parameters, and the description correctly implies that no arguments are needed. Since there are zero parameters, the baseline score of 4 applies, and the description needs no additional parameter-level detail.

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 a specific verb ('Visualize') and resource ('flow structure') with a distinctive output format ('markdown with per-tab breakdown'). This distinguishes it from sibling tools like get_flows_formatted or get_flow, which might also return flow data but without the per-tab breakdown emphasis.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention situations, exclusions, or related tools, leaving the agent to infer appropriate usage solely from the tool name and minimal description.

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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