Skip to main content
Glama

minia2a-mcp

x402-ideal-gas

Ideal Gas: Ideal Gas

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.1/5.0
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 of behavioral disclosure. The description 'Ideal Gas: Ideal Gas' reveals nothing about safety, side effects, output format, or computation behavior. For a zero-parameter tool, an agent would need to know what inputs it implicitly uses or what result it returns, but none of that is disclosed. At least the tautology doesn't contradict anything, but it adds no behavioral 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 extremely short, which is superficially concise, but it is under-specified rather than efficient. Two words repeated adds no information; it is a tautology rather than a distilled summary. A concise description would pack the tool's purpose into one informative sentence, not duplicate the name.

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?

For a zero-parameter tool with no output schema and no annotations, the description is the only source of information, and it is completely uninformative. An agent cannot know whether this is a calculator, a reference lookup, or a physics solver, nor what it returns. The sheer number of sibling tools makes this omission more costly because selection depends entirely on the description.

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

Parameters4/5

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

The input schema has zero parameters, and schema description coverage is reported at 100%. With no parameters to document, the description does not need to explain parameter semantics, and there is nothing meaningful missing. The baseline of 4 for zero-param tools applies here.

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

Purpose2/5

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

The description is a pure tautology: 'Ideal Gas: Ideal Gas' restates the tool name without any verb or explanation of what the tool computes. For a physics property tool like an ideal gas calculation, it fails to say whether it computes pressure, volume, temperature, moles, or some other property. The sibling x402-ideal-gas-pressure exists, suggesting this tool might be more general or different, but the description gives no differentiation at all.

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 versus alternatives. With hundreds of siblings including x402-ideal-gas-pressure, x402-boyle-law, x402-charles-law, and x402-gas-constant, an agent cannot determine when to select x402-ideal-gas or how it differs from those tools. No context, conditions, or alternative references are provided.

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