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notify_build_pipeline

Generate a full notification pipeline with user preferences, queuing, and delivery tracking. Select queue, database, and language to fit your stack.

Instructions

Generate a full notification pipeline with user preferences, queuing, and delivery tracking (Pro feature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queueNoMessage queue systembullmq
api_keyNo
databaseNoDatabase for preferences and logspostgres
languageNotypescript
Behavior2/5

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

No annotations exist, so the description carries the full disclosure burden. It adds useful context (the Pro-feature gating and the three included subsystems), but it does not state what artifacts are produced, whether files are written or existing code is modified, or whether invocation requires an API key or Pro entitlement — a notable gap given api_key is a parameter.

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

Conciseness4/5

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

One short sentence front-loads the action verb and resource, with the three feature areas packed into a compact appositive list. The 'Pro feature' parenthetical is minor and slightly buried at the end, but the sentence earns its place with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description must explain output artifacts, prerequisites, and invocation behavior itself, and it does not. An agent is left to guess what 'generate' produces, whether the Pro designation means the call will fail without a license, and how this differs from notify_setup_service or notify_create_templates. The four parameters are only loosely mapped.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description never mentions any of the four parameters directly. 'Queuing' and 'user preferences' loosely echo the queue and database parameters' schema descriptions, but api_key and language receive zero coverage in both schema and description. At 50% schema coverage, the description fails to compensate for the undocumented parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Generate') and identifies the resource ('a full notification pipeline') with three concrete feature areas: user preferences, queuing, and delivery tracking. It is distinguishable from nearby siblings like notify_create_templates, which covers only templates. However, it does not explicitly differentiate from notify_setup_service, whose scope could plausibly overlap.

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

Usage Guidelines2/5

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

No guidance is provided on when to invoke this tool versus alternatives. The 'full' qualifier implies it is the all-in-one option, but nothing names siblings like notify_setup_service, notify_create_templates, or queue_setup_bullmq as narrower alternatives, nor states conditions for choosing among them.

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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