pipeline_simulate

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

No annotations are provided, so the description carries the full burden. It mentions '模拟 Pipeline 执行' (simulate pipeline execution), implying a read-only or testing operation, but doesn't disclose critical behavioral traits: whether this affects production data, requires specific permissions, has rate limits, or what the simulation output looks like. The example shows a simple case but lacks context on error handling or performance implications.

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 structured with sections for parameters and an example, which helps readability. However, it includes redundant formatting (extra spaces) and the example could be more informative (e.g., showing verbose usage). Some sentences like '模拟 Pipeline 执行' are too brief, leaving gaps in explanation.

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 complexity (4 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It lacks details on what the simulation returns, error conditions, or how it interacts with sibling tools. The example helps but doesn't cover all parameters (e.g., id, verbose). For a tool with such rich context needs, this is inadequate.

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 description coverage is 0%, so the description must compensate. It lists all 4 parameters with brief explanations (e.g., '已存在的 Pipeline ID' for id, '内联 Pipeline 定义' for pipeline) and provides an example showing usage. This adds meaningful context beyond the bare schema, though details on parameter formats (e.g., pipeline structure, doc format) are still sparse.

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 states '模拟 Pipeline 执行' (simulate pipeline execution), which provides a basic verb+resource combination. However, it doesn't specify what type of pipeline this is (data processing, workflow, etc.) or distinguish it from sibling tools like 'pipeline_create' or 'pipeline_get'. The purpose is vague about the simulation's scope and output.

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 about when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., needing an existing pipeline or inline definition), nor does it differentiate from related tools like 'pipeline_create' for creating pipelines or 'search' for executing queries. Usage context is implied at best.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.