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rifkyekayama

Kali Linux MCP Server

by rifkyekayama

validate_sql_injection

Validate SQL injection vulnerabilities by testing a target URL and parameter with a payload to generate a proof of concept.

Instructions

Validate SQL injection with proof of concept.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadNo
parameterYes
target_urlYes
Behavior1/5

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

No annotations are provided, so the description must fully disclose behavioral traits. The description only repeats the tool name and adds 'with proof of concept', which does not explain what actions the tool performs (e.g., sends requests, checks responses, requires authentication), side effects, or rate limits. It is critically lacking.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short (6 words), which might seem concise, but it is a case of under-specification rather than efficient communication. It does not justify its brevity with thoroughness elsewhere; every sentence should earn its place, but here the single sentence adds almost no value beyond the name.

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

Completeness1/5

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

The tool is moderate complexity (SQL injection validation, 3 parameters, no output schema), yet the description provides none of the context needed for correct use. It fails to explain what constitutes a validation, what the output looks like, or how the payload parameter interacts with the others. Completely inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the description should compensate by explaining parameters. It does not mention any of the three parameters (target_url, parameter, payload). The agent must infer all meaning from the schema alone, which lacks descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb 'Validate' and the resource 'SQL injection', which distinguishes it from sibling tools like 'validate_xss'. However, it lacks specificity about what validation entails, and the phrase 'with proof of concept' is ambiguous. It does not clearly differentiate from broader tools like 'scan_injection_attacks'.

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?

There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, when not to use it, or how it relates to sibling tools such as 'scan_injection_attacks' or 'validate_xss'. The agent receives no decision support.

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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