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notification_show

Show a Windows system tray balloon notification to alert the user when a long-running task finishes. Ideal for notifying without constant screen monitoring.

Instructions

Show a Windows system tray balloon notification to alert the user. Use at the end of a long-running task so the user knows it finished without watching the screen. Caveats: toast の user reach は原理的に観測不能 (matrix §3.1 line 158 規範整合)。Focus Assist (Do Not Disturb) / Notifications-off setting / consent UI sink いずれも tool 側からは判別不能のため、successful response は常に hints.verifyDelivery を含む (status="unverifiable", reason="user_visible_side_effect_uninspectable", channel="win32_balloon_tip" — 全 double-quoted JSON literal)。caller は user 側の post-notification behavior (例: wait_until(focus_changes)) で間接観測することが望ましい。Uses System.Windows.Forms — no external modules needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesNotification body text
titleYesNotification title
includeNoOptional response-shape opt-in. `['envelope']` returns the self-documenting envelope (`_version` / `data` / `as_of` / `confidence`). `['raw']` forces raw shape (overrides DESKTOP_TOUCH_ENVELOPE=1 server default). Default behaviour is raw shape (compat with existing clients).
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. It discloses that the successful response always includes a hints.verifyDelivery object with status 'unverifiable' and explains the reasons (Focus Assist, DND, consent UI). It also mentions the underlying technology (System.Windows.Forms) and that no external modules are needed. However, it does not clarify if the tool is blocking or asynchronous.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately concise but includes Japanese text and a JSON literal that may hinder readability. The first sentence is clear, followed by technical caveats that are all relevant but could be more structured. Every sentence serves a purpose, but the mix of languages and technical jargon reduces conciseness.

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?

Given that the tool has only 3 parameters, no output schema, and no nested objects, the description covers the key aspects: purpose, usage context, delivery verification behavior, and a suggested indirect observation method. It is complete enough for an agent to use correctly, though it does not cover behavior for multiple rapid calls or notification click handling.

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%, so the baseline is 3. The description does not add significant new meaning beyond what the schema already provides for the title, body, and include parameters. The description focuses on behavioral aspects rather than parameter details.

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 'Show a Windows system tray balloon notification to alert the user', providing a specific verb and resource. It distinguishes from sibling tools which are focused on browser interactions, desktop actions, and data processing, making the purpose 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?

The description explicitly says 'Use at the end of a long-running task so the user knows it finished without watching the screen', providing clear context for when to use. It also includes caveats about delivery verification and suggests indirect observation via wait_until, but does not mention alternative tools or explicitly state when not 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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