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zebbern

Webhook.site MCP Server

by zebbern

get_webhook_url

Retrieve the complete webhook URL for a specified token, with optional validation to confirm token existence before use.

Instructions

Get the full URL for a webhook token. Optionally validate that the token exists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
webhook_tokenYesThe webhook token (UUID) from webhook.site
validateNoIf true, verify the token exists via API call before returning URL
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions validation via API call, which adds context about potential network behavior or latency. However, it fails to disclose critical traits such as whether this is a read-only operation, error handling for invalid tokens, rate limits, or authentication needs, leaving significant gaps for a tool interacting with an external service.

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 front-loaded and efficient, consisting of a single sentence that directly states the tool's purpose and optional feature. Every word earns its place without redundancy, making it easy to parse and understand quickly.

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

Completeness2/5

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

Given the complexity of interacting with webhook tokens and the lack of annotations and output schema, the description is incomplete. It doesn't explain return values (e.g., URL format, error responses), prerequisites (e.g., token existence), or behavioral details like side effects. For a tool with external API calls and no structured output, more context is needed to guide effective use.

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 input schema already fully documents both parameters ('webhook_token' and 'validate'). The description adds minimal value by reiterating the optional validation but doesn't provide additional semantics like format examples for the token or implications of validation beyond what's in the schema. This meets the baseline for high schema coverage.

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's purpose with a specific verb ('Get') and resource ('full URL for a webhook token'), and distinguishes it from siblings like 'get_webhook_info' or 'get_webhook_requests' by focusing on URL retrieval. However, it doesn't explicitly contrast with all siblings, such as 'get_webhook_dns' or 'get_webhook_email', which might have overlapping retrieval functions.

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 usage by mentioning an optional validation feature ('Optionally validate that the token exists'), which suggests when to use this tool—for retrieving URLs with or without verification. However, it lacks explicit guidance on when to choose this over alternatives like 'get_webhook_info' (which might provide more details) or 'create_webhook' (for setup), leaving some ambiguity in context.

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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