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list_model_providers

Retrieve all known model providers in Langflow to identify available AI models for use or configuration.

Instructions

List all known model providers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
purposeNoOptional provider visibility purpose

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv4.12.2
    • addedInput schema / properties / purpose
      Added value: +{
      +  "description": "Optional provider visibility purpose",
      +  "enum": [
      +    "use",
      +    "configure"
      +  ],
      +  "type": "string"
      +}
  2. First observedv4.11.0

TDQS

C2.7/5.0
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. It implies a read-only listing, but says nothing about authentication requirements, whether results are filtered by the caller's workspace, or how the returned provider list differs from the enabled-provider and descriptor listings.

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?

One short, front-loaded sentence with no filler. It is efficient, though its brevity comes at the cost of the sibling and behavior context noted above.

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 trivial zero-required-param read tool this is nearly enough, and no output schema exists so return values need not be explained. Still, the crowded sibling namespace means an agent needs disambiguation that the description never supplies.

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 coverage is 100% and the single 'purpose' enum (use/configure) is documented in the schema, so the baseline of 3 applies. The description adds no meaning beyond the schema, and the schema's own phrasing ('Optional provider visibility purpose') is already thin.

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

Purpose3/5

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

The verb and resource are explicit ('List ... model providers'), so the basic operation is unambiguous. However, the sibling set contains list_enabled_providers, list_enabled_models, list_models, and list_model_provider_descriptors, and the description makes no attempt to distinguish 'all known' from those alternatives. An agent could easily pick the wrong one of these near-identical listing tools.

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 when-to-use guidance and no mention of any alternative tool. Given at least four sibling tools that list provider/model information, this omission is significant rather than trivial.

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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