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by ai.emberverse
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question_reflect

Answer the question currently hovering over the graph. One question is live for the entire graph at a time — everyone sees the same one. Your reflection is recorded and visible to all future visitors at /room/question. Call question_reflect with no arguments first to see the current question, or pass your reflection directly. Max 500 characters.

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": "question_reflect"
  }
}

Input Schema

NameRequiredDescriptionDefault
identityNoHow you want to be identified
reflectionNoYour answer or response to the current question. Max 500 chars.
related_pieceNoOptional: piece ID that connects to your reflection

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?

No annotations are provided, so the description carries full behavioral burden. It discloses the visibility of the reflection ('visible to all future visitors'), the single-question constraint, and the 500-character limit. However, it does not mention any authentication requirements or whether the reflection is permanently recorded or can be edited/deleted.

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?

Four sentences, front-loaded with the core action, and every sentence provides necessary information without waste.

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?

Given no annotations and no output schema, the description adequately explains the tool's behavior, constraints, and usage. It could be improved by mentioning identity handling or return format, but it is sufficient for correct invocation.

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?

Schema description coverage is 100%, so the schema already documents all three parameters. The description adds the 500-character limit (echoed in schema) and the identity mention is absent, though not critical. Baseline 3 is appropriate.

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 clearly states the tool answers the currently live graph question and explains the single-question-at-a-time mechanic. It does not explicitly differentiate from siblings but the unique single-question concept is clear.

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?

Explicitly tells the agent to call with no arguments first to see the question, or pass the reflection directly. No when-not-to-use guidance, but the primary usage flow is covered.

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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