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api_auth_bypass_test

Identify authentication bypass flaws in API endpoints by probing with custom HTTP methods and headers.

Instructions

Test for authentication bypass vulnerabilities.

Args: url: Target API endpoint method: HTTP method headers: Custom headers as key:value pairs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
methodNoGET
headersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the tool tests for auth bypass but does not describe side effects (e.g., multiple requests, traffic generation), authentication needs, or rate limits. The output schema exists but is not referenced or explained, leaving important behavioral traits unspecified.

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 short and structured with 'Args:' listing. The first sentence clearly states the purpose, and each parameter has a brief explanation. No extra fluff is present, making it efficient for quick reading.

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 (3 params, no schema descriptions, no annotations, and an output schema not explained), the description is incomplete. It does not describe the return value, how the test works procedurally, or what to expect as output. For a security testing tool, this missing context is a significant gap.

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 schema has 0% description coverage, but the description adds basic meaning: 'url: Target API endpoint', 'method: HTTP method', 'headers: Custom headers as key:value pairs'. This clarifies the parameter purposes beyond the schema's types and defaults, though it does not specify valid methods or header formatting details.

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 verb and resource: 'Test for authentication bypass vulnerabilities.' It specifies the tool's purpose and required inputs (URL, method, headers). However, it does not explicitly distinguish itself from sibling API fuzzing tools like api_ffuf_fuzz or api_fuzz_endpoint, relying on the name to hint at the specific vulnerability class.

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?

The description lacks any guidance on when to use this tool versus alternatives. It does not mention prerequisites, when not to use it, or provide examples. Among many sibling API tools, the user has no basis to choose this one over others for a given scenario.

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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