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Set Device Equalizer

alexa_set_equalizer

Adjust bass, midrange, and treble levels on an Echo speaker from -6 to +6 dB to fine-tune audio output. Provide device serial number to apply equalizer settings.

Instructions

Adjust bass, midrange, and treble levels on an Echo speaker (-6 to +6 dB).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bassYesBass level (-6 to +6)
trebleYesTreble level (-6 to +6)
midrangeYesMidrange level (-6 to +6)
serialNumberYesSerial number of the Echo device (use alexa_list_devices to find it)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only mentions the adjustment and dB range, but fails to state whether the change is persistent, whether device availability is required, any permission requirements, or potential side effects on current audio settings.

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 a single, efficient sentence that front-loads the action and object. Every word contributes meaning, with no filler or unnecessary detail.

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?

For a relatively simple setter tool, the description plus schema cover the essential invocation details: what to adjust and the valid value ranges. However, with no annotations and no output schema, it omits information about the operation's effect (e.g., mutability, reversibility, success indication), leaving the overall picture slightly incomplete.

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?

Schema description coverage is 100%, with each parameter already documented including range constraints and the serial number hint to use alexa_list_devices. The description adds no extra parameter-level meaning beyond what the schema already provides, so the baseline 3 applies.

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

Purpose5/5

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

The description states a specific verb ('Adjust') and a specific resource ('bass, midrange, and treble levels on an Echo speaker'), making the tool's function immediately clear. It also naturally distinguishes from sibling tools like alexa_set_volume by focusing on equalizer bands rather than overall volume.

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 implies usage context (use for EQ tuning on Echo devices) but provides no explicit guidance on when to prefer this tool over alternatives such as alexa_set_volume or alexa_query_device. No exclusions or conditions are stated.

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