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MCPFax Public-Data Utility API

Unit conversion

v1_unit_convert
Read-onlyIdempotent

Unit conversion: Convert between units (length, mass, volume, speed, area, data, time, pressure, energy, temperature, angle). Source: deterministic edge compute. $0.005 per call · GET /v1/unit-convert

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTarget unit. Example: 'km'.
fromYesSource unit. Example: 'mi'.
valueYesValue to convert. Example: '100'.

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds genuinely useful behavioral context beyond annotations: 'deterministic edge compute', cost ($0.005 per call), and HTTP method (GET). There is no contradiction between the description and annotations.

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 compact and informative, with the core action front-loaded and supported categories listed efficiently. The addition of source, cost, and endpoint is useful and not wasteful. Minor redundancy exists in the 'Unit conversion:' prefix, but overall every sentence earns its place.

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 is simple, and the schema plus annotations provide a good baseline. However, the description does not list the exact unit symbols accepted for each category, does not describe the response format, and does not state behavior for invalid units. Since there is no output schema, a bit more return-value guidance would strengthen completeness.

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?

Schema description coverage is 100%, with each parameter (value, from, to) already documented and examples provided. The description does not add parameter-level detail, but the baseline of 3 applies because the schema already carries the semantic weight. It does not need to repeat what the schema covers.

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 states a specific verb and resource: 'Convert between units' with an explicit list of measurement categories (length, mass, volume, speed, area, data, time, pressure, energy, temperature, angle). It clearly distinguishes itself from the sibling v1_fx by omitting currency and covering physical units instead, so an agent can pick this tool without ambiguity.

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 description implies usage: use this tool for unit conversions within the listed categories. However, it provides no explicit guidance about when not to use it, no mention of alternative tools, and no edge-case routing (e.g., 'for currency use v1_fx'). It is minimally adequate but leaves usage decisions to inference.

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

A3.7/5.0
Disambiguation5/5

Every tool targets a distinct resource or operation—geocoding, weather, DNS, VIN, stock quotes, etc.—with no meaningful overlap in purpose. Even the location- and finance-related tools are clearly separated by their descriptions.

Naming Consistency5/5

All tools follow the same v1_<resource>[_modifier] snake_case pattern, such as v1_air_quality, v1_reverse_geocode, and v1_validate_email. Although the names are not verb-based, the convention is perfectly consistent across all 31 tools.

Tool Count2/5

31 tools exceeds the 25+ threshold and creates a heavy selection burden for agents, even though the server's stated purpose is broad. Many endpoints are small single-purpose lookups that could be grouped into fewer combined tools without losing clarity.

Completeness4/5

As a general public-data utility, the set covers a wide range of common lookup categories: location, weather, finance, legal, health, business, internet, and reference data. It has minor gaps like historical financial time series or phone-number validation, but no obvious dead ends since all tools are self-contained read-only lookups.

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