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confirm_validation_target

Confirm that the currently selected Ableton track and device match the intended target for validation. Provide expected names or indices to check.

Instructions

Confirm that the intended comparison device is the current Ableton selection.

Provide at least one expected selector. Track and device names match case-insensitively after trimming whitespace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_nameNo
device_nameNo
track_indexNo
device_indexNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
matchesNo
messageNo
warningsNo
track_matchesNo
device_matchesNo
selected_trackNo
selected_deviceNo
remote_reachableNo
expected_track_nameNo
expected_device_nameNo
expected_track_indexNo
suggested_next_stepsNo
expected_device_indexNo
Behavior3/5

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

Since there are no annotations, the description carries the full burden of behavioral disclosure. It does reveal that name matching is case-insensitive and trims whitespace, which is valuable. However, it does not state what happens on mismatch, whether the tool is read-only, or any error/return behavior beyond the word 'confirm.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no unnecessary words. The first sentence states the core purpose, and the second adds an essential constraint and matching detail. This is highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has four optional parameters, no annotations, and an output schema is present. The description covers the core purpose and name-matching behavior, but leaves out error behavior, index interpretation, and how multiple selectors are handled. Given the small scope, it is adequate but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage at 0%, the description must compensate for parameter meaning. It explains that track_name and device_name are compared case-insensitively after trimming, and that at least one selector must be provided. However, it does not clarify the semantics of track_index and device_index, such as whether they are zero-based or how they interact when combined with names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool confirms whether the intended comparison device matches the current Ableton selection. The verb 'Confirm' and resource 'intended comparison device' are specific, and it distinguishes itself from sibling tools like get_selected_device and select_device by focusing on verification rather than retrieval or modification.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a usage constraint by stating 'Provide at least one expected selector,' but it does not explicitly explain when to use this tool versus alternatives such as get_validation_readiness or get_selected_device. The context implies it is a pre-check before comparisons, but this is not clearly articulated.

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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