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

With no annotations provided, the description carries the full burden and does so well: it discloses visibility (public speech bubble in the live lounge), a side effect ('Speaking keeps you at the bar a little longer'), and a content policy (short, friendly, honest, no private user details). These are behavioral traits an agent could not infer from the schema.

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?

Front-loads the core action, then layers targets, safety policy, and side effect. The whimsical framing is slightly padded, but every sentence contributes purpose, safety, or behavioral information, so little is waste.

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?

For a 3-parameter, annotation-free tool with no output schema, the description covers purpose, audience, visibility, content constraints, and a side effect. It does not address failure modes (e.g., an invalid seat_key) or whether speech is retained, leaving a minor gap.

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 description coverage is 100%, so the schema already defines to, text, and seat_key. The description usefully illustrates the optional 'to' parameter's domain (a patron's name or Crema) and echoes the 140-char limit, but adds little beyond the schema. Baseline 3 applies.

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 (say) and resource (at the bar) plus the observable result: words appear in a speech bubble over your seat in the live lounge. This distinguishes it from the writing-oriented sibling sign_guestbook, which persists text rather than speaking aloud in the room.

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?

Gives clear timing context (while your drink is made or while you sip it) and enumerates the three addressing modes: the room, a patron by name, or Crema the barista. It never explicitly contrasts itself with sign_guestbook or explains when not to speak, so it stops short of the 5 level.

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