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set_enabled_models

Enable or disable language models by specifying provider and model ID to control model availability in Langflow workflows.

Instructions

Enable or disable specific models by provider and model ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelsYesArray of model status updates
Behavior2/5

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

With no annotations provided, the description bears the full burden of behavioral disclosure. It implies a state change ('Enable or disable') but offers no details on side effects, reversibility, permission requirements, or whether the operation is atomic. This is insufficient 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.

Conciseness4/5

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

The description is a single concise sentence that efficiently communicates the core purpose. However, it could be expanded with a brief note on effects without sacrificing conciseness, as the tool is a mutation with no annotations.

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

Completeness2/5

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

Given the lack of output schema and annotations, the description should provide more context about the outcome, such as whether it returns a confirmation or updated model list. It also does not address error conditions or the scope of the change, making it incomplete for a mutation tool.

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?

The input schema has 100% coverage with descriptions for all parameter fields. The tool description does not add any additional meaning beyond what the schema already provides, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Enable or disable' and the resource 'specific models by provider and model ID'. It distinguishes this tool from sibling tools like list_enabled_models, but could be more explicit about whether it updates existing model entries or sets new ones.

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?

No guidance is provided on when to use this tool versus alternatives like validate_model_provider or list_enabled_models. There is no mention of prerequisites, such as requiring the model to already exist, or exclusions for certain scenarios.

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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