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Glama

Data converter

data_converter

Convert a value between data units. Units: bit (Bit), B (Byte), kB (Kilobyte), MB (Megabyte), GB (Gigabyte), TB (Terabyte), KiB (Kibibyte), MiB (Mebibyte), GiB (Gibibyte), TiB (Tebibyte). Calculation runs on smart-tools.xyz.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTarget unit id
fromYesSource unit id
valueYesAmount to convert
localeNoLanguage for source_url (en, de, es, fr, it, nl, uk)

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the transparency burden. It adds a behavioral note about calculation running on smart-tools.xyz, implying remote execution, but does not explicitly state whether the operation is read-only or describe any side effects. For a simple converter, the safety profile is somewhat self-evident, but the disclosure is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: a clear purpose statement followed by a compact unit list. Every piece of information earns its place, and the essential action is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters but no output schema, so the description should clarify the return value or format, which it does not. It also does not mention the optional 'locale' parameter. However, for a simple unit converter, the output is fairly predictable, and the input semantics are well-covered by the schema and 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?

While the schema covers all parameters, the description adds human-readable unit expansions (e.g., 'bit (Bit)', 'B (Byte)') that clarify the enum values. The schema only labels from/to as 'Source unit id' / 'Target unit id', so the unit mapping in the description is valuable.

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

Purpose5/5

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

The description uses a specific verb and resource ('Convert a value between data units'), and the list of units clearly distinguishes it from sibling converters like length_converter or temperature_converter. The purpose is immediately clear.

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

Usage Guidelines3/5

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

The intended use is implied by the unit list, but there is no explicit guidance on when to choose this tool versus alternatives. No exclusions or alternative tool names are mentioned, so the reader must infer the context.

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

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TDQS

B3.3/5.0
Disambiguation3/5

Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.

Naming Consistency4/5

Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.

Tool Count2/5

With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.

Completeness4/5

The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.

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