Skip to main content
Glama

minia2a-mcp

x402-to-ordinal

To Ordinal: Convert to ordinal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.6/5.0
Behavior2/5

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

The description conveys that this is a conversion operation ('Convert to ordinal'), which implies a read/transform behavior, but it does not disclose what is converted, what format the output takes, or any edge cases. With no annotations provided, the description carries the full behavioral burden and fails to provide meaningful transparency.

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 very short, but it is under-specified rather than concise. It contains a placeholder ('Convert [missing] to ordinal'), which makes it not a useful definition. The structure provides the title-like label 'To Ordinal' followed by an incomplete sentence.

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?

For a tool with 0 parameters, no annotations, and no output schema, the description is completely inadequate. An agent cannot determine what input to provide, how the conversion works, or what output to expect. The missing subject makes this definition non-functional.

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 input schema has 0 parameters and schema description coverage is 100%, so there are no parameter semantics to document. Baseline of 3 applies because there is nothing for the description to add; however, the description also fails to explain where the value-to-convert comes from, which is a significant usability gap.

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 reads 'To Ordinal: Convert to ordinal.' but contains a placeholder — the subject of the conversion is missing ('Convert [what?] to ordinal'). The input schema has no parameters, so there is no way to tell what input this tool accepts. Without a clear verb+resource, it does not state what the tool actually does and is effectively a tautology of the tool name.

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?

The description provides no context for when to use this tool, no exclusions, and no alternatives. The empty description offers no guidance on input or how it differs from the many sibling tools like x402-format-ordinal-suffix.

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