list_executions
Retrieve job executions for a specific Rundeck project, with an optional maximum number of results.
Instructions
列出項目中的執行
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project | Yes | 項目名稱 | |
| max | No | 最大結果數(可選,默認為 20) |
Retrieve job executions for a specific Rundeck project, with an optional maximum number of results.
列出項目中的執行
| Name | Required | Description | Default |
|---|---|---|---|
| project | Yes | 項目名稱 | |
| max | No | 最大結果數(可選,默認為 20) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must bear the burden. 'List' implies a read operation, which is clear. However, it does not disclose pagination behavior, default ordering, or error handling for missing projects.
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 superfluous information. It is front-loaded and efficient for a straightforward list command.
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 no output schema and no annotations, the description lacks details about return format (e.g., list of execution IDs or objects). For a list operation, this is a notable gap, leaving the agent uncertain about the result structure.
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?
Schema coverage is 100%, so the schema fully describes both parameters. The description references 'project' but adds no extra meaning beyond the schema. Baseline score of 3 applies.
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 '列出項目中的執行' clearly states it lists executions within a project. It effectively distinguishes from sibling tools like get_execution_info (single execution) and run_job (creates execution), though it could explicitly mention the resource type.
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 guidance is provided on when to use this tool vs alternatives (e.g., get_execution_info for details, list_jobs for jobs). It lacks context on prerequisites or typical scenarios.
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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