Speak

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

With no annotations, the description carries the full behavioral burden. It discloses the TTS backend but not whether the call blocks until speech finishes, whether audio is played locally versus returned, whether long text is truncated, or what happens if the named voice is not installed.

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?

A single front-loaded sentence with zero filler; it states mechanism and effect immediately. It is efficient, though arguably too terse for a 4-parameter tool.

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?

Four parameters, no annotations, no output schema, and 25% schema coverage demand more than one sentence. Nothing is said about side effects, timing, error behavior, or the undocumented rate/volume parameters.

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 only 25% – just 'voice' is documented ('Installed Windows voice name'). The description adds nothing about rate, volume, or text semantics (rate range is -10 to 10 with default 2, which is non-obvious and unexplained). It fails to compensate for the low coverage.

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?

States a specific verb (speak) and resource (text, aloud) plus the underlying mechanism (Windows Text-to-Speech). It is clearly distinct in intent from the sibling list_voices, though it never explicitly says so.

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?

No when-to-use guidance, no prerequisites, and no mention of the sibling list_voices even though discovering valid voice names requires it. Usage is only implied by the verb.

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