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Rooms Agent Pay (sandbox preview)

room_status

Room balance, spent, fees, refundable amount, hires and the latest transcript lines.

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": {
      "room_id": "<room_id>"
    },
    "name": "room_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
room_idYesRoom id from create_room

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
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 burden and it does not state that the operation is read-only or side-effect free, though the field enumeration strongly implies a read. It also omits how many 'latest transcript lines' are returned, whether results are paginated or truncated, and any auth requirements.

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

Conciseness3/5

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

It is a single short fragment with no wasted clauses, but it is a bare field list rather than a front-loaded statement of what the tool does. Terseness here reads as under-specification rather than disciplined concision.

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?

With no output schema, the description is the only source of return shape and it does enumerate the returned fields, which is genuinely useful. However, for a tool exposing financial data (balance, spent, fees, refundable amount) it should clarify that it is a read, whether amounts are in minor units, and how transcript lines are bounded.

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?

There is a single parameter with 100% schema description coverage ('Room id from create_room'), so the schema already does the work and the description adds nothing about room_id. Baseline 3 applies when schema coverage is high and the description is silent on parameters.

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

Purpose3/5

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

The description is a noun-phrase list of data fields ('Room balance, spent, fees, refundable amount, hires and the latest transcript lines') with no verb, so the agent must infer from the name 'room_status' that this retrieves room state. It does implicitly differentiate from mutation siblings like close_room or request_refund by enumerating read-only data, but the purpose is never stated outright.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus alternatives such as close_room or the hire tools, and no prerequisites or exclusions are given. The only usable signal is the field list, which hints at a status-check use case.

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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