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TwitterAPIs

twitterapis

twitter_monitor_webhook_test

Send a test event to a webhook endpoint to verify connectivity and signature validation. Returns delivery status, status code, and error details.

Instructions

Send one HMAC-signed test event to this webhook's URL right now and return the outcome synchronously: delivered (true if your endpoint returned a 2xx within the delivery timeout), status_code, and error. Unlike a real monitor event, a test send is never queued, retried, or dead-lettered, it is a one-shot diagnostic to confirm your endpoint and signature verification both work before relying on the webhook. Free per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe webhook's id, from twitter_monitor_webhook_create or twitter_monitor_webhook_list.
Behavior5/5

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

While annotations indicate readOnlyHint=false and destructiveHint=false, the description adds substantial behavioral details: the event is HMAC-signed, sent synchronously with a delivery timeout, returns delivered/status_code/error, is never queued/retried/dead-lettered, and is free. This goes beyond the annotations and provides a clear understanding of the tool's side effects and guarantees.

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 description is concise and front-loaded, immediately stating the primary action and return values. Every sentence adds value: the synchronous nature, the outcome fields, the contrast with real events, and the free pricing. No unnecessary repetition or filler.

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?

Given the tool's simplicity (one parameter, no output schema), the description is remarkably complete. It explains the exact behavior (synchronous send, timeout, outcome), the difference from regular events, and the purpose. It covers authentication (HMAC-signed), and the free aspect, leaving little ambiguity for an agent selecting this tool.

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?

The input schema already fully documents the 'id' parameter, including its source ('from twitter_monitor_webhook_create or twitter_monitor_webhook_list'). The description does not add any additional semantic meaning beyond what the schema provides, so the baseline score of 3 applies due to high schema coverage.

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?

The description clearly states the action: 'Send one HMAC-signed test event to this webhook's URL right now and return the outcome synchronously'. It identifies the specific verb (send) and resource (webhook), and the return values (delivered, status_code, error). It distinguishes itself from sibling tools like create/list/delete by focusing on testing.

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?

The description provides explicit timing: 'to confirm your endpoint and signature verification both work before relying on the webhook' and contrasts with real events: 'Unlike a real monitor event, a test send is never queued, retried, or dead-lettered'. It gives clear context for when to use, though it does not explicitly name alternative tools or state when not to use it; the contrast with real events implies alternatives.

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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