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Glama

speak

Reads text aloud through the PC speakers to report actions, ask questions, or issue spoken button commands for Android voice control.

Instructions

Say text out loud on the PC speakers (to report what you did or ask a question).

Input Schema

NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose that output is audible on the machine's speakers, but says nothing about whether the call blocks until speech finishes, what happens if no speaker is selected or the device is muted, or whether it fails silently — significant gaps for a tool with an externally observable side effect.

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

Conciseness4/5

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

A single tight sentence with the action front-loaded and the use case bracketed at the end; nothing is redundant. It could be marginally improved only by folding prerequisite/behavior notes into the parenthetical.

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 one-parameter utility with no output schema and no annotations, the description is adequate at the level of intent. It falls short on device prerequisites, blocking semantics, and error behavior — details an agent needs to sequence this call correctly relative to list_speakers/select_device.

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 0% and there is one parameter, 'text', whose only meaning comes from the verb 'say'. The description implies the string is spoken verbatim but adds nothing about length limits, markup/SSML support, or formatting, leaving the single parameter only partly characterized.

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 gives a concrete verb+resource: 'Say text out loud on the PC speakers.' An agent can immediately tell this produces audio output, unlike sibling list_speakers or listen. It doesn't explicitly differentiate from voice_tap/voice_command or state whether the target speaker depends on select_device, but the core purpose is unambiguous.

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 parenthetical 'to report what you did or ask a question' supplies an intended-use context, which is more than nothing. However there is no when-not guidance, no mention of prerequisites such as choosing a speaker via select_device/list_speakers, and no comparison to the voice_* siblings that also involve speech.

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