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goclaw_provider_create

Add a new LLM provider to GoClaw by configuring name, type, API key, and optional models for AI gateway integration.

Instructions

Add a new LLM provider to GoClaw

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProvider name
typeYesProvider type (e.g. openai, anthropic, openrouter)
api_keyYesAPI key for the provider
base_urlNoCustom API base URL
modelsNoList of model IDs to enable
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Add' implies a write/mutation operation, but the description doesn't disclose important traits: whether this requires authentication/permissions, if it's idempotent, what happens on success/failure, or any rate limits. For a creation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a creation tool and front-loads the essential information. Every word earns its place.

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 creation tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what happens after creation (e.g., returns a provider ID), error conditions, or system-wide implications. The agent lacks sufficient context to use this tool effectively beyond the basic parameter schema.

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 5 parameters with clear descriptions. The description adds no additional parameter context beyond what's in the schema (e.g., format examples for 'type', validation rules, or how 'models' interacts with provider capabilities). Baseline 3 is appropriate when the schema does the heavy lifting.

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') and resource ('a new LLM provider to GoClaw'), making the purpose immediately understandable. However, it doesn't differentiate from sibling provider tools like goclaw_provider_update or goclaw_provider_delete, which would require mentioning this is specifically for creation/initial addition.

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 doesn't mention prerequisites (e.g., needing admin access), when to choose this over goclaw_provider_update, or what happens if a provider with the same name already exists. This leaves the agent with insufficient context for appropriate tool selection.

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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