Skip to main content
Glama

minia2a-mcp

x402-dilution

Dilution: Calculate the final concentration after dilution. Provide initialConcentration, initialVolume, and finalVolume.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It only says 'calculate the final concentration,' which describes the basic operation but leaves out units, input validation, edge cases (e.g., zero final volume), and whether the output is a number, string, or object. The mismatch between the described parameters and the empty input schema also creates uncertainty about how the tool actually behaves.

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?

The description is a single, short sentence that is easily parsed and front-loaded with the core action. The 'Dilution:' prefix is redundant with the tool name, adding minor noise, but overall there is no wasted content.

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?

The tool has no annotations, no output schema, and an empty input schema, so the description is the only source of context. It fails to provide units, the dilution formula, parameter types, or any response format. An agent attempting to call this tool would lack critical invocation details, especially since the schema implies zero parameters while the description demands three.

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?

The description names three inputs—initialConcentration, initialVolume, and finalVolume—adding semantics beyond the empty input schema. However, the schema declares no properties, so an agent following the schema would not know how to supply these arguments. The description does not specify types, units, or formulas, and its guidance conflicts with the schema, making correct invocation doubtful.

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?

The description clearly states a specific action and resource: 'Calculate the final concentration after dilution.' This is a distinct verb-plus-resource phrasing that makes the core purpose understandable. It does not explicitly differentiate from sibling tools like x402-concentration, but the goal is clear enough on its own.

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?

The description offers invocation guidance ('Provide initialConcentration, initialVolume, and finalVolume') but provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The agent is left to infer the appropriate context, which is especially problematic given the huge sibling list with many concentration-related calculators.

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