deep-research-query-task
Retrieve the status and results of a deep research task using its task ID.
Instructions
查询深度研究任务状态和结果
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Retrieve the status and results of a deep research task using its task ID.
查询深度研究任务状态和结果
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, side effects, authentication requirements, or rate limits. The description simply states what the tool does, without transparency about its behavior.
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 a single concise sentence with no wasted words. It is front-loaded with the action and resource, making it easy to parse quickly.
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?
Given the lack of output schema and annotations, the description is insufficiently complete. It does not describe the return format, possible statuses, or how to interpret results, which are essential for a query tool. The simple one-param structure does not compensate for the missing contextual details.
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 input schema has one parameter ('task_id') with no description (0% schema description coverage). The tool description does not explain the parameter's purpose, format, or how to obtain its value. The description adds no semantic value beyond 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 clearly states the action ('查询' - query) and the resource ('深度研究任务状态和结果' - deep research task status and results). It distinguishes this tool from siblings like 'deep-research-create-task' and 'deep-search-query-task' by specifying the task type and operation.
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?
No explicit guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites (e.g., needing a task_id from a create call) or exclude scenarios (e.g., not for creating tasks). Usage context is purely implied.
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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