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TenQueue capabilities

get_capabilities
Read-onlyIdempotent

Read-only. What TenQueue can do: live group quizzes that players join on their phone via QR code, with a projector screen and a quizmaster control page. Returns question types, limits and how images work. Use only when the user wants a playable quiz for a group, not for trivia text.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_capabilities"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, and the description's leading 'Read-only.' largely restates that. It does add real value by previewing the payload contents (question types, limits, image behavior), but says nothing about size, caching, or whether capabilities vary by account state.

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

Conciseness4/5

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

Three short sentences, front-loaded with the operation type, then content, then the usage gate — easy to scan. The standalone 'Read-only.' sentence is largely redundant with the supplied annotations, which is a small waste of the prime opening position.

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 no-parameter, no-output-schema discovery tool this is close to sufficient: the description tells the agent what information it will get back and when it is the right call. A pointer to the follow-up tool (e.g. create_quiz) after reading capabilities would close the remaining gap.

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?

The tool takes zero parameters, so there is no parameter semantics to explain and the schema is trivially complete. The baseline for a parameterless tool applies; nothing in the description is needed or missing here.

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 names the resource (TenQueue capabilities) and enumerates what the returned content covers — live group quizzes, QR joining, projector screen, quizmaster page, question types, limits, image handling. It is clearly not any of the CRUD siblings (create_quiz, get_quiz, publish_quiz), though it never explicitly names which sibling to use instead for the alternative case.

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

Usage Guidelines4/5

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

It gives an explicit positive condition ('when the user wants a playable quiz for a group') and an explicit exclusion ('not for trivia text'). The only gap is that the exclusion does not route the agent to a concrete alternative among the many siblings, so the agent must infer where to go next.

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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