apply_visu_changes

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

With no annotations, the description fully carries the burden: it discloses that the tool kills a running VISUDesigner, runs operations as a Python script, and saves/closes the project. It also mentions failure conditions (auto-detect fails if multiple stations). This is comprehensive behavioral transparency.

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, well-organized paragraph with a clear main sentence followed by a list of supported operations and a usage note. It is efficient and front-loaded, though the list of operation types is a bit lengthy. Still, it earns its place.

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 (many operation types, no output schema), the description is adequate but incomplete. It lacks information about return values, error handling, or success/failure indicators. The mention of auto-detection failure is good, but more context on outcomes would improve completeness.

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%, with descriptions for both parameters. The tool's description adds crucial meaning beyond the basic schema by listing all operation types and explaining the sequence (loaded, applied, saved). The schema only defines operations as an array of items without structure, so the description is essential.

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 applies changes to a VISUDesigner project using a headless API. It lists many supported operations, identifying the specific resource and action. However, it does not explicitly distinguish from sibling tools like 'apply_project_changes', which weakens the differentiation.

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 provides a clear use case: run after CLASS 2 channel changes to sync datapoints. It implies usage context (headless, automated changes) but does not specify when not to use or mention alternatives among the sibling tools.

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