Skip to main content
Glama

minia2a-mcp

x402-rlp-decode

Rlp Decode: Rlp Decode

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoData to process
inputNoInput to process

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing: no return format, error behavior, input encoding expectations, or side effects. For a tool that decodes RLP (a binary encoding), this is a severe omission.

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 short, but it is under-specified rather than concise: 'Rlp Decode: Rlp Decode' repeats the tool name and contributes no information. There is no substantive content that could earn its place, and the redundancy wastes the few tokens it uses.

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?

With no annotations, no output schema, and a description that merely names the operation, the tool is effectively undocumented. An agent cannot determine the expected input format (hex string, bytes, string), the exact RLP decoding behavior, or the shape of the result. This is completely inadequate for a 2-parameter tool without any fallback documentation.

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

Parameters2/5

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

Schema description coverage is 100%, but both parameter descriptions are generic placeholders ('Data to process', 'Input to process') that add no domain-specific meaning. The description itself adds nothing about parameters, and the near-identical parameter descriptions fail to clarify whether data and input are interchangeable or serve different roles. The high coverage is misleading because the existing descriptions are not informative.

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

Purpose1/5

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

The description is 'Rlp Decode: Rlp Decode', a pure tautology that restates the tool name. It provides no verb beyond the name, no resource, and no explanation of what RLP decoding does or what the output would be. An agent cannot distinguish this from sibling decode tools like x402-abi-decode or x402-hex-decode based on this description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is zero guidance on when to use this tool, what kind of input to supply, or which of the two parameters (data vs input) should be populated. Sibling tools with overlapping decode purposes exist, but no alternatives or exclusions are mentioned. The agent is left entirely to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

Resources