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Get one booth in detail

get_project
Read-onlyIdempotent

Full detail for a single booth: its name, public link, currency, screen size, and the live status of the device running it — whether it is online, when it was last seen, app version, and camera/printer/internet state. Call this when the operator asks about one specific booth, or whether a booth is working. Get the project id from list_projects first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject id from list_projects

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
devicesYesEmpty when device monitoring is unavailable — not an error
projectYes
deviceCountYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedOutput schema / properties / project / properties / screenSize / additionalProperties
      Added value: +false
    • addedOutput schema / properties / project / properties / screenSize / properties
      Added value: +{
      +  "height": {
      +    "type": "number"
      +  },
      +  "width": {
      +    "type": "number"
      +  }
      +}
    • changedOutput schema / properties / project / properties / screenSize / type
      Previous value: -"string"New value: +"object"
  2. First observed

TDQS

A4.8/5.0
Behavior4/5

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, and the description adds no conflicting side effects. It clarifies that the returned status is live, though it does not mention error or rate-limit behavior; given the annotations, this is sufficient.

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?

The description is two sentences, front-loaded with the tool's purpose and output fields, followed by clear usage guidance and a prerequisite. There is no redundant or vague wording.

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

Completeness5/5

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

Given the output schema exists and the description enumerates the output fields and use cases, the tool is fully specified for an agent to call correctly. It names the prerequisite tool and the distinguishing scenario, covering all necessary context.

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

Parameters5/5

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

The schema has 100% coverage with a meaningful description for projectId, and the tool description reinforces that the id should come from list_projects first. This goes beyond the schema by providing the source of the parameter value.

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

Purpose5/5

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

The description clearly states 'Get' a single booth's full detail, listing specific fields (name, public link, currency, screen size, live device status). It is distinct from siblings like list_projects and get_sessions, so an agent can easily select this tool for one specific booth.

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

Usage Guidelines5/5

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

It explicitly says to call this tool when the operator asks about one specific booth or whether a booth is working. It also instructs to get the project id from list_projects first, providing clear operational guidance and preventing misuse.

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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