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add_provider

Add an AI provider for brainstorming by configuring its API endpoint, authentication, and default model to enable multi-model debates and idea synthesis.

Instructions

Add a new AI provider for brainstorming. Supports any OpenAI-compatible API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProvider name, e.g. 'groq', 'ollama', 'mistral'
baseURLYesAPI base URL, e.g. 'http://localhost:11434/v1' for Ollama
apiKeyEnvVarYesEnvironment variable name for the API key. Use 'NONE' if no key required.
defaultModelYesDefault model to use for this provider, e.g. 'llama3', 'mixtral-8x7b-32768'
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Add a new AI provider' which implies a write/mutation operation, but doesn't cover permissions needed, whether changes are persistent, error handling, or rate limits. The OpenAI-compatibility hint is useful but insufficient for full transparency.

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 extremely concise with just two sentences that efficiently communicate the core purpose and key constraint. Every word earns its place with zero wasted text.

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?

For a mutation tool with no annotations and no output schema, the description is inadequate. It doesn't explain what happens after adding a provider, whether there's validation, error conditions, or how this integrates with the 'brainstorm' tool. The OpenAI-compatibility note helps but doesn't compensate for the missing behavioral context.

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 100%, so the schema already documents all 4 parameters thoroughly. The description adds no additional parameter information beyond what's in the schema, maintaining the baseline score of 3 for high schema coverage.

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 action ('Add a new AI provider') and the resource ('for brainstorming'), with a specific scope ('Supports any OpenAI-compatible API'). It distinguishes from 'list_providers' by being a creation tool, though the distinction from 'brainstorm' is less explicit.

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 explicit guidance on when to use this tool versus alternatives is provided. The description mentions 'for brainstorming' but doesn't clarify prerequisites, when to add providers, or how it relates to 'brainstorm' and 'list_providers' tools.

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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