ed_get_user_info
Retrieves current Ed user information to verify that your access token is valid for the Ed platform.
Instructions
当前 Ed 用户信息,用来确认 token 有效。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| response_format | No | Output format | markdown |
Retrieves current Ed user information to verify that your access token is valid for the Ed platform.
当前 Ed 用户信息,用来确认 token 有效。
| Name | Required | Description | Default |
|---|---|---|---|
| response_format | No | Output format | markdown |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as read-only and non-destructive. The description adds the behavioral intent of token validation, providing context beyond annotations. It doesn't describe return format or rate limits, but with annotation coverage, 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one short sentence that immediately conveys the tool's purpose and usage. No unnecessary words, and the key information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with one optional parameter and no output schema, the description covers the essential purpose and context. It could mention what fields are returned, but the tool name and description are sufficient for selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'response_format' is fully described in the schema with enum values and a default. The description adds no parameter-specific information, but schema coverage is 100%, so the agent can rely on the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool retrieves current Ed user information, a specific resource distinct from all sibling tools. It also gives a use case (confirming token validity), making the purpose clear and differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description specifies the primary use case: confirming token validity. It implies this is the tool to call when you need to verify authentication, though it doesn't explicitly name alternatives or exclusions. Given the unique scope of user info among siblings, the context is clear.
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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