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Request the human's acknowledgement (BLOCKS until they ack)

request_ack

Send a notification that blocks until the person acknowledges it, ensuring they have seen and confirmed receipt before you continue.

Instructions

Send a message that needs the human to acknowledge it, and BLOCK until they tap 'Acknowledge', then return. Use this when the human must see and confirm receipt of something before you continue (a heads-up they have to read, a checkpoint reached, 'I'm about to start the long run'). The call does not return until the human acks or it times out. Returns { responded, message_id, topic } plus replied_at when acked (responded:true), or { responded: false, reason: "timeout" } if no one acks in time. On timeout/cancel, call check_reply with the returned message_id (replies are retained ~30 min).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags / emoji shortcodes, e.g. ["eyes"].
titleNoShort title, shown bold above the message.
topicNoTopic to publish to. Pass it explicitly — each project should use its own topic. When omitted, falls back to the project's `.blipr-topic` file, then the BLIPR_TOPIC env var.
messageYesWhat the human needs to see and acknowledge.
priorityNo1=min/silent … 5=critical. Defaults to 4 (time-sensitive) since it needs an ack.
timeout_secondsNoHow long to block waiting for the acknowledgement before giving up. Defaults to 120s. Some MCP clients cancel a long tool call early; on timeout or cancel, use check_reply with the returned message_id (replies are retained ~30 min).
Behavior5/5

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

With no annotations, the description fully discloses blocking behavior, timeout behavior, return values on success and failure, and retention of replies for ~30 min via check_reply. It also notes potential early cancellation by MCP clients, providing comprehensive behavioral context.

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 a single, well-structured paragraph of ~100 words. It front-loads the primary purpose, then provides use cases, return format, and timeout guidance without unnecessary repetition or fluff.

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?

Despite no output schema, the description thoroughly explains return values, required parameters, optional parameters with usage scenarios, and fallback behavior (check_reply). It covers all aspects needed for correct invocation, given the tool's complexity.

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?

Schema coverage is 100%, so baseline is 3. The description adds useful context beyond the schema for the 'topic' parameter (use explicit topic per project) and 'timeout_seconds' parameter (default 120s, cancellation behavior). This incremental value justifies a 4.

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 title and description clearly state the tool sends a message requiring human acknowledgement and blocks until receipt. It specifies the verb (send/request), resource (human acknowledgement), and blocking behavior, differentiating from siblings by emphasizing the blocking and ack requirement.

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?

The description explicitly states when to use this tool (when the human must see and confirm receipt) and provides concrete examples (heads-up, checkpoint, about to start long run). It also mentions the alternative check_reply on timeout, offering clear guidance on when it is appropriate.

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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