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reroute_node_red_flow

Reroute production data from a failed machine to a backup machine by updating Node-RED flow configuration. Specify failed machine, backup machine, and product ID to redirect data flow.

Instructions

Dynamically changes Node-RED flow configuration to reroute production data from a failed machine to a backup machine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYes
backup_machineYes
failed_machineYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'dynamically changes' but does not explain side effects (e.g., whether the change is persistent, reversible, or what happens to the original flow). It also does not discuss validation, error conditions, or permissions, leaving significant gaps for a mutation 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 a single, focused sentence with no superfluous words. It front-loads the action and provides the essential context in a compact form.

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?

For a tool with three simple string parameters and no output schema, the description captures the core purpose but omits critical context such as failure handling, whether the operation is reversible, and the potential impact on the Node-RED environment. Given that this tool modifies production configuration, more detail is needed for complete understanding.

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 0%, but the description clarifies the roles of the parameters: failed_machine (source), backup_machine (destination), and product_id (the data stream). However, it does not explain value formats, constraints, or how these relate to the Node-RED flow, so it only partially compensates for the lack of schema documentation.

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 tool's verb ('changes') and resource ('Node-RED flow configuration'), with a specific outcome ('reroute production data from a failed machine to a backup machine'). This distinguishes it from sibling tools like adjust_machine_parameters or optimize_energy_schedule, which deal with different aspects of the same domain.

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 implies the use case (failed machine requiring rerouting) but does not explicitly state when to use it, when not to use it, or alternatives. It lacks exclusions or prerequisites, so the guidance is only implicit.

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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