execute_collaborative_task
Executes multi-robot collaborative tasks by accepting a task ID and returning the execution result.
Instructions
执行多机器人协同任务
参数:
- task_id: 任务ID
返回:
- 执行结果
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Executes multi-robot collaborative tasks by accepting a task ID and returning the execution result.
执行多机器人协同任务
参数:
- task_id: 任务ID
返回:
- 执行结果
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosure. It only states 'execute multi-robot collaborative task', without explaining blocking behavior, return values, side effects, or safety implications. This is insufficient for a potentially impactful tool.
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 very short (one header line and two parameter lines). It is concise but lacks a narrative flow. For a simple one-parameter tool, it is adequate but could be structured better with a full sentence for purpose.
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 tool's likely side effects (executing multi-robot tasks) and the absence of annotations or output schema, the description is incomplete. It does not cover behavior, expected results, or dependencies, leaving critical gaps for an AI agent.
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 schema has 0% description coverage, so the description must compensate. However, it only repeats the parameter name and type ('任务ID'), adding no further meaning about format, source, or constraints. This adds minimal 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 tool's action (execute) and resource (multi-robot collaborative task), distinguishing it from siblings like 'create_collaborative_task' and 'setup_multi_robot_coordination'. However, it does not elaborate on what 'execute' entails, leaving some ambiguity.
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 usage guidance is provided. The description lacks context on when to use this tool versus alternatives, prerequisites (e.g., task must exist), or potential side effects. This omission makes it hard for an agent to decide correctly.
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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