Skip to main content
Glama

minia2a-mcp

x402-truncate

Truncate: Truncate a string to a length.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
inputNoInput to process
ellipsisNoEllipsis to process
maxLengthNoMaxLength to process

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 behavioral disclosure, and it does not carry it. It doesn't state whether an ellipsis is appended, what n and maxLength do, how short strings are handled, or what default behavior applies. An agent gets no insight beyond 'truncate a string.'

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 with no redundant paragraphs or fluff. The only flaw is the leading 'Truncate:' which repeats the tool name and adds minimal value, but overall the size is appropriate and front-loaded.

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 four poorly-specified parameters, this description under-specifies the tool. An agent cannot confidently determine required inputs, how n relates to maxLength, or whether ellipsis is optional, making successful invocation uncertain.

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 coverage is 100%, but every parameter description is a tautology ('N to process', 'Input to process', 'Ellipsis to process', 'MaxLength to process') that adds no real meaning. The tool description only weakly hints that input is the string and maxLength is the length, leaving n and ellipsis roles 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?

The description states a clear verb and resource: 'Truncate a string to a length.' It conveys the core operation without ambiguity. However, it doesn't differentiate from sibling truncation tools like truncate-middle or truncate-words, and the leading 'Truncate:' merely restates 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 Guidelines2/5

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

There is no guidance about when to use this tool versus alternatives such as truncate-decimal, truncate-middle, or truncate-words. The description is a bare definition with no conditional context, exclusions, or routing hints.

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