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js-cohn

Webhook.site MCP Server

by js-cohn

list_requests

Retrieve and filter captured requests, emails, and DNSHooks sent to a Webhook.site token. Supports pagination, date ranges, and search queries.

Instructions

List captured requests, emails, and DNSHooks sent to a token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number to retrieve (default 1)
queryNoSearch query to filter requests
api_keyNoOptional Webhook.site API key (or use WEBHOOK_SITE_API_KEY env var)
date_toNoFilter requests up to this date (format 'yyyy-MM-dd HH:mm:ss')
sortingNoSorting order: 'newest' or 'oldest' (default 'newest')newest
per_pageNoNumber of requests to return per page (default 50, max 100)
token_idNoThe Webhook.site token UUID (or use WEBHOOK_SITE_TOKEN_ID env var)
date_fromNoFilter requests from this date (format 'yyyy-MM-dd HH:mm:ss')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden, but it only states a simple listing action. It does not disclose pagination behavior, search/filtering effects, authentication requirements, or read-only nature beyond the implicit 'List'.

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?

A single, front-loaded sentence with zero redundant information. Every word contributes to the core purpose.

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?

The tool has 8 optional parameters, pagination, search, and date filters, yet the description is extremely terse. It doesn't address the diversity of captured items or how the scheduling/filtering works, leaving the agent without enough context to use the tool effectively.

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 baseline is 3. The description adds no parameter-specific meaning, but the schema already fully documents each parameter, so no additional compensation is needed.

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 uses a specific verb ('List') and identifies the resource ('captured requests, emails, and DNSHooks sent to a token'). This clearly distinguishes it from sibling tools like get_latest_request (single item) and get_token (token management).

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?

No guidance is provided on when to use this tool versus alternatives. It neither specifies the context (e.g., browsing history) nor mentions exclusions (e.g., use get_latest_request for a single request).

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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