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llm-toolkit

llm-toolkit

by 0x1Jar
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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Generate Payload

generate-payload

Generate payload variants for security testing by applying mutations like case changes, whitespace insertion, comment injection, encoding, token breaking, and Unicode transformations.

Instructions

Generate payload variants with mutations (case, whitespace, comment, encoding, tokenBreaker, unicode)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "payload": "<payload>",
      "options": "<options>"
    },
    "name": "generate-payload"
  }
}

Input Schema

NameRequiredDescriptionDefault
payloadYes
optionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, and the description lacks behavioral details such as side effects, return format, or mutation order. The minimal one-liner does not compensate for the lack of structured metadata.

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 very concise (one sentence) and front-loaded. It avoids fluff but could benefit from a more structured format.

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 complex parameters and no output schema, yet the description does not explain the output format, mutation application order, or behavior. This is insufficient completeness for a payload generation tool.

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 description lists mutation types, partially covering the enum values in the schema. However, it does not explain each mutation's effect or the options like encoding and chainMutations, so meaning beyond the schema is limited.

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 tool's purpose: 'Generate payload variants with mutations.' It lists specific mutation types, distinguishing it from sibling tools like encode or analyze-payload.

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 on when to use this tool versus alternatives like encode or bypass-waf. No context for selection is provided.

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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