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List webhooks

argorant_webhooks
Read-onlyIdempotent

List the web addresses Argorant notifies when something happens, such as a reply, a positive reply, a bounce, an export or list check that is ready, or a paused campaign, with the events each one receives and every event the user can pick. Use it to see what is set up and to get ids for argorant_delete_webhook or argorant_test_webhook; to add one use argorant_create_webhook. It is free. More in the docs at https://docs.argorant.com/docs/agents/tools#webhooks and https://docs.argorant.com/docs/guides/webhooks

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "argorant_webhooks"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new context — that the call is free and where the fuller documentation lives — but says nothing about response shape or ordering, which is partly offset by the existing output schema.

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?

The purpose is front-loaded in the first clause and the action guidance follows immediately. The event enumeration makes the opening sentence long and slightly run-on, but every element (events, ids for siblings, cost, docs) carries information an agent would otherwise have to guess.

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?

With zero parameters, a full annotation set, an output schema covering return values, and documentation links, an agent has everything needed to select and call this tool correctly. Nothing material is missing for a parameterless read-only listing.

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?

The tool takes zero parameters, so the baseline is 4; there is no parameter meaning for the description to add. Nothing in the description contradicts or complicates the empty schema.

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 — listing the webhook URLs Argorant notifies — and enumerates the triggering events (reply, positive reply, bounce, export/list check ready, paused campaign) plus the event metadata returned. This is clearly distinguishable from the create/delete/test webhook siblings named in the same description.

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 it ('see what is set up' and 'get ids for argorant_delete_webhook or argorant_test_webhook') and redirects the add case to argorant_create_webhook. The alternative is named with the condition that selects it, leaving nothing to inference.

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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