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fa1829

cybersec-mcp

by fa1829

decode-payload

Decode obfuscated payloads from malware, CTF challenges, or phishing emails using Base64, URL encoding, hex, and ROT13, with automatic detection for analysis.

Instructions

Decode obfuscated or encoded payloads commonly found in malware analysis, CTF challenges, and phishing emails. Supports Base64, URL encoding, hex, and ROT13.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesThe encoded string to decode
encodingNoEncoding type. Use 'auto' to attempt all decodings automatically.auto
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It states supported encodings but does not disclose what the 'auto' mode returns (single result, list, order, or failure behavior), how errors surface, or any limitations. For a tool that can attempt multiple decodings, this is a meaningful gap.

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 sentence that front-loads the core purpose and immediately follows with supported encodings. Every phrase earns its place; there is no fluff or redundancy beyond useful context.

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?

The tool is simple with two parameters and no output schema, but the description does not explain how results are returned, especially when 'auto' is used. An agent could call it correctly but may not know how to interpret multiple possible decodings or failures. This leaves an important behavioral 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?

Schema description coverage is 100%, so the baseline is 3. The description adds context about use cases but no additional parameter-level detail beyond the schema. It does not explain payload format constraints or encoding edge cases, though the schema already documents both parameters adequately.

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 ('Decode') and resource ('obfuscated or encoded payloads'), and gives concrete contexts (malware analysis, CTF, phishing). It clearly distinguishes this tool from all siblings, none of which are decoding tools, so an agent can select it confidently.

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 implies when to use it: whenever an encoded/obfuscated payload is encountered in relevant security contexts. It does not explicitly name alternatives or exclusions, but sibling tools are sufficiently unrelated that no negative guidance is necessary. A clear context 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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