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notch_status

Display an unobtrusive status readout in the Mac notch for long-running tasks. Update text, progress, and details as work proceeds, then resolve the readout on completion or error.

Instructions

Show or update a status readout in the notch. Call when starting long-running work and again as it progresses. Does not steal focus and needs no window. Always finish with notch_done or notch_error so the readout resolves instead of just vanishing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ttlNoSeconds before this status self-expires if never updated. Default 1800.
textYesShort label, e.g. "Running test suite". Under ~40 chars.
styleNoWhich readout to use. 'pendant' (high attention): The one task the user is actively waiting on: a build, a test suite, a deploy, a long agent run. 'belt' (medium attention): Ambient background work the user should be able to ignore: a watcher, a sync, a queue draining, polling. 'pill' (medium attention): A short transient message with no percentage: "Deployed to staging", "Branch pushed", "3 files changed". 'glow' (low attention): Signalling only that something is happening, when the detail does not matter: background indexing, a warm-up, a keepalive. Defaults to pendant.
detailNoOptional secondary figure, e.g. "342/500" or "12.4 MB/s".
progressNoCompletion 0–1. Omit for indeterminate, which animates a sweep.
Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It adds valuable behavioral context: 'Does not steal focus and needs no window' and explains that readouts must be resolved via notch_done or notch_error instead of vanishing. This goes beyond the schema, though it does not mention TTL expiry behavior (which the schema's ttl param already covers).

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 only two sentences long, front-loaded with the core purpose, and every sentence earns its place. It includes usage guidance and behavioral caveats without any fluff or 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?

This is a simple tool with 5 fully described parameters and no output schema. The description supplies crucial usage context (when to call, how to resolve the readout) and behavioral notes, making it sufficiently complete. It could mention potential side-effects or edge cases, but for this tool's simplicity, the coverage is strong.

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?

The schema description coverage is 100%, so the parameters are fully documented in the input schema. The description adds only minor context like 'Short label' for text, which is already implied. It does not provide additional semantic value beyond the schema, earning the baseline score of 3.

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's function: 'Show or update a status readout in the notch.' It uses a specific verb ('Show or update') and resource ('status readout in the notch'), and distinguishes it from siblings like notch_done and notch_error by instructing to finish with those tools.

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?

The description gives explicit when-to-use guidance: 'Call when starting long-running work and again as it progresses.' It also provides a clear follow-up instruction to always finish with notch_done or notch_error. However, it does not explicitly state when not to use this tool or recommend alternatives for other scenarios.

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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