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list_deliveries

Read-onlyIdempotent

List deliveries for a webhook endpoint with pagination and status filters. Retrieve deliveries newest-first, filter by status like failed or delivered, and paginate using a cursor.

Instructions

List deliveries for an endpoint, newest-first. Paginate by passing next_cursor back as cursor on subsequent calls. Returns up to 200 per page (default 50). Example: "show me failed deliveries for ep_acme" → endpoint_id="ep_acme", status="failed". Requires an endpoint_id — if the user names a specific delivery (del_xxx) instead, use get_delivery. Valid status filters: pending, delivering, delivered, failed, scheduled_retry, dead_letter. For the full delivery schema and status value meanings, see resources nahook://schemas/delivery and nahook://schemas/delivery-statuses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpoint_idYesendpoint public id (ep_xxx) whose deliveries to list
limitNopage size, 1-200 (default 50)
cursorNoopaque cursor from a previous response's next_cursor; omit for first page
statusNofilter by status: pending, delivering, delivered, failed, scheduled_retry, or dead_letter

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
deliveriesYesthe page of deliveries, newest first
next_cursorNopass back as cursor to get the next page; absent on the last page
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. Description adds pagination behavior (cursor-based, up to 200 per page, default 50), ordering (newest-first), and references to external schemas for full details. No contradiction.

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?

Efficiently structured in a few sentences: core purpose, pagination, example, sibling distinction, valid filters, and references. No wasted words.

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?

Covers all necessary aspects for agent usage: purpose, when to use, parameters, behavior, and references to output schema via external resources. Output schema exists, so return values need not be explained.

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%, but description adds value beyond schema: example for endpoint_id and status, cursor usage explanation, limit default and range, and emphasis on required endpoint_id.

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?

Clearly states 'List deliveries for an endpoint, newest-first.' Uses specific verb (list) and resource (deliveries for an endpoint). Distinguishes from sibling get_delivery by noting when to use that instead.

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 says when to use this tool vs get_delivery: 'if the user names a specific delivery (del_xxx) instead, use get_delivery.' Provides example query mapping and valid status filters. Also explains pagination usage.

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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