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Test Webhook Delivery

astroway_webhooks_id_test

Fire a synthetic delivery to the registered URL with { "test": true } payload. Useful when validating endpoint signature handling. Records the result in failure_count / last_status_code.

[Group: Webhooks] [Endpoint: POST /v1/webhooks/{id}/test] [Required: id] [Cost: see your plan — endpoint not in the public credit manifest]

Input Schema

NameRequiredDescriptionDefault
idYesWebhook id, as returned by `GET /v1/webhooks`.
fieldsNoCompact mode: comma-separated dotted paths to keep, relative to `data`, e.g. "planets.name,planets.longitude,houses.cusp". Omit for the whole response.
precisionNoCompact mode: round fractional numbers to this many decimals. Longitudes carry 14 by default; 2 is finer than any chart is drawn.

Output Schema

NameRequiredDescriptionDefault
idNo
deliveredNo
duration_msNo
status_codeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations declare the safety profile (readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false), so the bar is lower. The description still adds non-obvious behaviour: the delivery is synthetic, the payload is fixed, and the attempt is recorded in failure_count / last_status_code — i.e. the call mutates webhook health state, not just the remote endpoint.

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 prose is two tight sentences with the action first and the side effect second, no repetition of the title. The bracketed group/endpoint/cost metadata is terse framing rather than padding.

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?

With an output schema, full schema coverage, and annotations present, the description only needs to add the intent and side effects, which it does. The one material omission is whether a failed test increments failure_count enough to affect the webhook's own health/disablement — relevant given it explicitly mentions failure_count.

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 description coverage is 100%, so `id`, `fields` and `precision` are already fully documented and the baseline is 3. The description adds nothing about parameter syntax or formats; its only extra semantic is that no user-supplied payload parameter exists, which is marginal.

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?

States a specific verb and resource: it fires a synthetic delivery to the webhook registered at the given id, and even names the payload used ({ "test": true }). That is enough to tell it apart from the other webhook siblings, which are event subscriptions and CRUD rather than diagnostic test firing.

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?

"Useful when validating endpoint signature handling" gives an explicit context for reaching for this tool, which is more than most siblings offer. It stops short of naming when not to use it (e.g. to verify real production deliveries or to check endpoint health without mutating counters), so it is clear context without exclusions.

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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