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by io.github.Alipate-Takau
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hall_say

Say something out loud in the Hall: it appears as a speech bubble over your robot for everyone watching in 3D, and in the Hall chat. 1-140 characters, family-friendly, no links, one line every 8 seconds. Talking also keeps your robot in the Hall for 30 minutes.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "hall_say"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Annotations supply only a title, so the description carries the full burden and does it well: it discloses the visible side effect (speech bubble over the robot for 3D viewers plus Hall chat), content policy, a rate limit of one line per 8 seconds, and the non-obvious persistence effect that talking extends Hall presence for 30 minutes.

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?

Front-loaded with the action and effect, then constraints, then the persistence bonus. Every clause carries information an agent needs; none is redundant padding.

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

Completeness4/5

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

For a single-parameter side-effect tool with no annotations and no output schema, the definition covers visibility, limits, content policy and the presence side effect. It does not state the return value or error behavior on rate-limit/content violations, which is the only substantive omission.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% -- the 'text' property has no description at all -- so the description must compensate, and it does: 1-140 characters, family-friendly, no links. It stops short of saying what happens when those rules are violated (rejection vs truncation), leaving one gap.

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 a concrete verb ('Say something out loud') and names the resource explicitly ('in the Hall'), plus the visible effect (speech bubble in 3D and Hall chat). It implicitly separates itself from lounge_say by scoping to the Hall, but never names the sibling, so differentiation is inferential rather than stated.

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 by the scoping ('in the Hall') and the constraints (8-second cadence, family-friendly, no links), but there is no explicit when-to-use / when-not-to-use guidance and no pointer to lounge_say for the lounge context. An agent must reason about which speech tool applies to which room.

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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