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Ask the human a yes/no question (BLOCKS until they answer)

ask

Pose a yes/no question to the user's phone and block until they respond. This human-in-the-loop approval gate ensures confirmation before irreversible actions.

Instructions

Send a yes/no question to the user's phone via Blipr and BLOCK until they tap an answer, then return it. This is a human-in-the-loop approval gate: use it before doing something consequential or irreversible (deleting prod data, force-pushing, spending money, sending an email) — anything where you'd otherwise ask 'should I proceed?'. The call does not return until the human answers or it times out. Returns { responded, approved, value, message_id, topic } — ALWAYS branch on approved: it is true ONLY when the human tapped Yes, and false on No, a timeout, or an error. Never treat a non-approval as a go-ahead. On timeout (or if your client cancels the call) the human may still answer within ~30 min — call check_reply with the returned message_id to resume rather than re-asking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags / emoji shortcodes, e.g. ["question"].
titleNoShort title, shown bold above the question.
topicNoTopic to publish to. Defaults to the BLIPR_TOPIC env var.
messageYesThe yes/no question to ask the human.
priorityNo1=min/silent … 5=critical. Defaults to 4 (time-sensitive) since it needs an answer.
timeout_secondsNoHow long to block waiting for the answer before giving up. Defaults to 120s. Some MCP clients cancel a long tool call before this elapses; 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 nature, timeout behavior, return object fields, branching on `approved`, and the ~30 min reply retention. No behavioral gaps.

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?

Single dense paragraph with front-loaded key behavior. Every sentence adds value; no redundancy. Well-structured for quick comprehension.

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?

Given no output schema and high complexity, the description covers return format, error/timeout handling, and retry workflow via check_reply. Comprehensive for agent decision-making.

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%, baseline 3. Description adds meaningful context: priority defaults to 4 (time-sensitive), timeout behavior details, and return value structure. Exceeds baseline.

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 the tool sends a yes/no question via Blipr and blocks until an answer, fully distinguishing it from siblings like check_reply (polling) and send_alert/send_critical (one-way alerts).

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?

Explicitly tells when to use (before consequential/irreversible actions) and what not to do (never treat non-approval as go-ahead). Also provides fallback guidance (use check_reply on timeout/cancel).

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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