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ask_human

Get a human decision by sending a question to Slack or WhatsApp and waiting for the reply. Use for approvals, clarifications, or any input an AI agent cannot determine alone.

Instructions

Send a question to the human via their configured communication channel and wait for a reply. Uses the default target unless an explicit target override is provided. Nothing is persisted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoOptional per-call target override; does not change the saved default
questionYesThe question to ask the human
timeoutMsNoOptional timeout in milliseconds (default: 5 minutes)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does disclose important behavior: it waits for a reply, uses a default target unless overridden, and explicitly states 'Nothing is persisted.' It does not cover error or timeout behavior, but the core side-effect profile is transparent.

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 sentences, each carrying distinct information: purpose, target selection behavior, and persistence guarantee. The main action is front-loaded with no redundancy or filler.

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?

The description covers the essential invocation facts: what it does, how the target is chosen, and that nothing is persisted. However, since there is no output schema, it does not state what the tool returns after receiving a reply or how failures are surfaced, which is a minor gap in an otherwise complete description.

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 question, target override, and timeoutMs. The description reinforces the default-vs-override distinction but adds little beyond what the structured schema provides, meriting the baseline score.

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 a specific verb and resource: 'Send a question to the human... and wait for a reply.' This outcome-oriented phrasing distinguishes it from the sibling notify_human, which likely implies one-way notification without a response.

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

Usage Guidelines3/5

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

The description implies this tool should be used when a human reply is needed, but it never explicitly names notify_human as the alternative or states a 'when not to use' condition. The default-target vs override guidance is useful, but usage context remains implied rather than explicit.

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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