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subagent_config_list

Lists all configured AI providers with their status, key preview, and configuration source.

Instructions

列出所有已配置的 AI 提供商

返回所有配置的提供商及其状态,包括密钥预览和配置来源。

Returns: JSON 格式的提供商列表

Example: providers = subagent_config_list()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It clearly states that the tool returns a list of providers with status, key preview, and source. It does not mention side effects or permissions, but for a read-only listing, this is adequate.

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 only essential information: purpose, return format, and an example. It is well-structured with a clear separation between description, returns, and example.

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?

Given the tool has no parameters and an output schema exists, the description provides sufficient context. It explains what the tool does and what it returns, making it complete for a simple listing operation.

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 no parameters, and the input schema has 100% description coverage. Per the guidelines, the baseline score is 4, as the description does not need to add parameter semantics when none exist.

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 clearly states the tool's purpose: listing all configured AI providers. It also specifies the return details (status, key preview, source), which distinguishes it from sibling tools like subagent_config_get (which retrieves a specific provider) and subagent_config_set (which modifies configuration).

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 does not explicitly provide usage guidelines, such as when to use this tool versus alternatives or when not to use it. However, the purpose is implied by the name and description, so an agent might infer that it's for getting a complete list, but explicit guidance is absent.

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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