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daredoole

audio-calibration-mcp

by daredoole

jamesdsp_preset_execute

Executes a JamesDSP preset plan, backs up current config, verifies status, and auto-restores on failure for safe audio calibration.

Instructions

Back up JamesDSP, execute an exact preset load/save plan, verify status, and automatically restore the active configuration on failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes
confirmNo
confirmationTokenYes
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure—and it does so well. It reveals three important behaviors: a backup is taken before mutation, status is verified afterward, and the active configuration is automatically restored on failure. This gives the agent confidence in the tool's safety profile. It stops short of a 5 because it doesn't clarify what happens to the backup after success, what 'failure' precisely means, or how the confirmation flow interacts with the transaction.

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?

A single 19-word sentence with zero padding. The core action ('back up... execute... verify') is front-loaded, and the safety guarantee (restore on failure) closes the sentence. Every clause earns its place, making it easy to parse quickly.

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

Completeness2/5

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

The transactional flow is described, but critical operational details are missing: the required `confirmationToken` is never mentioned, the structure of the `plan` object is unspecified beyond 'preset load/save,' and there is no output schema or description of what the tool returns. For a tool requiring confirmation and handling state restoration, an agent would be guessing at the token format and response shape.

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

Parameters2/5

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 for the undocumented parameters. It partially does: 'preset load/save plan' gives meaning to the `plan` parameter. But it says nothing about `confirm` or the required `confirmationToken`—an agent has no way to know what token to supply or what the confirmation boolean gates. With three undocumented parameters and only one marginally explained, the compensation is insufficient.

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 uses specific action verbs—back up, execute, verify, restore—to describe a full transactional lifecycle for JamesDSP presets. It clearly distinguishes itself from sibling tools like jamesdsp_status (status only), jamesdsp_snapshot (backup only), and jamesdsp_preset_plan (planning only) through its unique combination of actions, even though it doesn't name them explicitly.

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?

Usage is implied rather than stated: the phrase 'execute an exact preset load/save plan' signals that the caller should already possess a plan, presumably from a planning sibling like jamesdsp_preset_plan. However, there is no explicit 'when to use' guidance, no exclusions, and no warning against using it directly with an ad-hoc plan.

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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