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zebbern

Webhook.site MCP Server

by zebbern

generate_ssrf_payload

Create unique SSRF test payloads to detect server-side request forgery vulnerabilities in web applications using identifiable URLs for bug bounty testing.

Instructions

Generate SSRF (Server-Side Request Forgery) test payloads for bug bounty testing. Creates unique identifiable URLs that can be injected into targets to detect blind SSRF vulnerabilities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
webhook_tokenYesThe webhook token (UUID) from webhook.site
identifierNoCustom identifier to include in payload (e.g., 'param1', 'header-injection')
include_dnsNoInclude DNS-based payload for blind SSRF detection (default: true)
include_ipNoInclude IP-based payloads to bypass domain filters (default: true)
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 of behavioral disclosure. It describes what the tool creates ('unique identifiable URLs') and their purpose ('injected into targets to detect blind SSRF vulnerabilities'), but doesn't mention output format, rate limits, authentication requirements, or potential side effects. The behavioral information is adequate but minimal for a tool that generates security payloads.

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 perfectly concise with two sentences that each earn their place. The first sentence establishes purpose and context, while the second explains the output and its application. No wasted words, and information is front-loaded with the core function stated immediately.

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?

For a 4-parameter tool with no annotations and no output schema, the description provides adequate but minimal context. It explains what the tool does and why, but doesn't describe the return format, error conditions, or detailed behavioral characteristics. Given the security testing context and lack of structured metadata, more completeness would be beneficial but what's provided meets minimum viable standards.

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 schema already fully documents all 4 parameters. The description doesn't add any parameter-specific information beyond what's in the schema descriptions. It mentions 'injected into targets' which relates to parameter usage but doesn't provide additional syntax, format, or constraint details. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('Generate SSRF test payloads'), target resource ('unique identifiable URLs'), and purpose ('for bug bounty testing' and 'to detect blind SSRF vulnerabilities'). It distinguishes this tool from siblings by focusing on SSRF payload generation rather than webhook management or request handling.

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 clear context about when to use this tool ('for bug bounty testing' and 'to detect blind SSRF vulnerabilities'), but doesn't explicitly mention when not to use it or name specific alternative tools. It implies usage for security testing scenarios but lacks explicit exclusions or comparisons to siblings like generate_canary_token or generate_xss_callback.

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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