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Glama

pentest_ctf_encode

Encodes data into hex, Base64, Base32, URL, ROT13, binary, or reversed formats for CTF and penetration testing payload preparation.

Instructions

Encode data (hex, base64, base32, url, rot13, binary, reverse).

Input Schema

NameRequiredDescriptionDefault
dataYes
encodingYes
input_formatNotext

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden, and it discloses very little: nothing about output format, error behavior on malformed input, or whether 'reverse'/'binary' are transforms rather than encodings. An agent cannot tell what it gets back or what fails.

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?

A single front-loaded sentence with no filler. It is concise but perhaps too terse given the gaps elsewhere, though as structure alone it is clean.

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?

With no annotations, no output schema, and zero documented parameters, the description should explain input_format semantics and the return shape. It leaves both unclear, so an agent would have to guess at invocation details.

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 coverage is 0%, so the description must compensate. It does add real value by enumerating valid values for the required 'encoding' parameter, which the schema leaves as a free string with no enum. However, 'input_format' (default 'text') and the expected shape of 'data' are entirely unexplained.

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?

States a specific verb and resource ('Encode data') and enumerates the supported encodings, which lets an agent distinguish it from pentest_ctf_decode and pentest_ctf_xor. Sibling differentiation is only implicit in the verb, not stated.

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 versus pentest_ctf_decode or the other CTF transforms (xor, cipher_brute). The description is a bare capability list with no context or exclusions.

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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