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opencode_list_providers

Read-onlyIdempotent

Lists configured LLM providers in opencode and returns their names for verification.

Instructions

List configured LLM providers in opencode.

Return Format

{"success": bool, "message": str, "data": {"providers": [{"name": str}]}}

Examples

opencode_list_providers()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the safe read-only behavior is covered. The description adds the expected return format and a usage example, providing useful behavioral context beyond the annotations.

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 minimal and well-structured with clear sections for return format and example. Every line serves a purpose, and it is front-loaded with the core purpose.

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

Completeness5/5

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

For a zero-parameter readonly tool, the description fully covers purpose, return format, and usage example. The output schema is documented, and annotations provide safety context, making the tool complete for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema has 100% coverage (empty properties). The baseline for no parameters is 4; the description doesn't need to explain parameters and instead focuses on return format, which is appropriate.

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 states 'List configured LLM providers in opencode' — a specific verb and resource. It clearly distinguishes from sibling tools like opencode_list_sessions and opencode_get_config.

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 usage by stating its purpose, but gives no explicit when-to-use guidance or alternatives. There are no exclusions or compared tools, so it's adequate but not explicit.

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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