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GigRadar

La Growth Machine MCP Server

by GigRadar

create_inbox_webhook

Create a webhook to receive real-time notifications for inbox events, such as new LinkedIn or Email messages.

Instructions

Create an inbox webhook for real-time notifications on inbox events (LinkedIn and Email messages)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesWebhook destination URL (must be publicly accessible)
nameYesName for this webhook
campaignsNoArray of campaign IDs to filter events for, or ['all'] for all campaigns
Install Server

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the webhook receives notifications on inbox events, which is good. However, it doesn't mention whether creation is idempotent, if there are limits on webhooks, what authentication is needed, or if the URL must be publicly accessible (this is only in the parameter schema). The description adds some value but lacks depth on behavioral traits.

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 description is a single sentence that conveys the core purpose concisely. It front-loads the main action. However, it could be slightly more structured (e.g., listing supported event types or constraints), but it's efficient for its length.

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?

Given the tool has 3 parameters (all straightforward) and no output schema, the description does a decent job but is incomplete. It doesn't explain what events trigger notifications, the return value (e.g., webhook ID), or how to verify creation. Sibling tools like 'list_inbox_webhooks' and 'delete_inbox_webhook' suggest CRUD operations, but the description doesn't hint at the lifecycle.

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 description coverage is 100% for 3 parameters. The description does not add parameter-specific details beyond what the schema already provides via descriptions. Since coverage is high, baseline is 3; the description adds marginal value by implying the event types (LinkedIn and Email), which maps to the url and name parameters. A slight bump to 4 because the description sets the context for what the webhook does.

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 the tool creates an inbox webhook for real-time notifications on LinkedIn and Email events. The verb 'create' and resource 'inbox webhook' are specific. It doesn't explicitly distinguish from sibling tools like 'list_inbox_webhooks' or 'delete_inbox_webhook', but the purpose is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used to set up real-time event notifications, which provides some context. However, it doesn't specify when to use this versus other tools like the native webhooks (rb2b_native_webhook, warmly_native_webhook, vector_native_webhook) or how to choose between them. No explicit when-not-to-use guidance is given.

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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