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Mock a webhook

anyhook_mock

Generate signed webhook requests for Stripe, GitHub, or Slack to test integrations. Specify an event and optional data; optionally include a target URL to POST the request and return the response.

Instructions

Generate a webhook request with a valid signature for Stripe, GitHub, or Slack. If targetUrl is provided, the request is POSTed there and the response is returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoOptional fields to deep-merge into the fixture.
eventYesEvent name (e.g. 'payment_intent.succeeded' for Stripe).
secretNoSigning secret. Falls back to a deterministic default per provider.
providerYesWebhook provider to simulate.
targetUrlNoIf set, POST the generated request to this URL and return the response.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior4/5

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

Without annotations, the description carries the burden of behavioral disclosure. It does well by explicitly stating the key side effect: if targetUrl is provided, the request is POSTed to that URL and the response is returned. It also highlights that the generated signature is valid, which is important for simulation. It could be more explicit about what happens when targetUrl is absent, but the core behavior is transparent.

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?

Two concise sentences, each earning its place. The main action and the conditional side effect are front-loaded, and there is no redundant or filler content.

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

Completeness3/5

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

The description plus schema covers the main workflow well, but there is a noticeable gap: what is returned when targetUrl is not provided? Since there is no output schema, this missing return semantics makes the tool slightly incomplete. Usage context is also absent, which matters given the number of sibling tools.

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 the schema already documents all five parameters effectively. The description adds context for targetUrl's POST behavior, but it does not go beyond the schema for provider, event, data, or secret. This is a solid baseline for a schema-heavy tool.

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 clearly states what the tool does: generate a webhook request with a valid signature for three named providers. It is specific and easy to understand, but it does not explicitly distinguish itself from the sibling 'anyhook_simulate' or other webhook-related tools.

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?

The description explains conditional behavior ('If targetUrl is provided...') but gives no guidance on when to prefer this tool over siblings like anyhook_simulate, anyhook_verify, or anyhook_replay. There are no stated alternatives, exclusions, or use-case 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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