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NianLog

feedback-mcp-server

by NianLog

Interactive Feedback Dialog

interactive_feedback

Shows a dialog to get user input for questions, confirmations, or decisions when the assistant is blocked.

Instructions

Show a dialog to the user with your message and wait for their response. Use this to ask questions, confirm decisions, or get input when blocked. Keep the message concise and readable — the user reads it, so summarize rather than dumping raw logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesText to show the user (Markdown supported). Keep it focused and readable.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
responseNoUser response content
timedOutNoWhether the dialog timed out
submittedYesWhether the user submitted a response
Behavior3/5

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

With no annotations, description carries full burden. It discloses dialog display and wait behavior but doesn't mention blocking or interruption nature, nor auth or side effects. Adequate but not rich.

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?

Three concise sentences, front-loaded with main action. Every sentence adds value without redundancy.

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?

Simple tool with one parameter, output schema exists. Description covers purpose, usage, and message guidelines. Return value implied but not stated; minor gap but overall complete.

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 coverage is 100%, baseline 3. Description adds advice on conciseness but largely reinforces schema description. No new semantic details beyond what schema already provides.

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?

Description explicitly states the tool shows a dialog and waits for user response. The verb 'show' and resource 'dialog with user' are clear, and the purpose is unambiguous.

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?

Provides explicit use cases: ask questions, confirm decisions, get input when blocked. Lacks explicit exclusions but effectively guides when to use.

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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