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unit_convert

Convert a value between units: length (m/km/mi/ft/in/yd/nmi + Russian verst/sazhen), mass (g/kg/lb/oz + pood/funt), area (m2/ft2/acre/hectare) and temperature (C/F/K). -> /x/util/convert. Pay-per-call ($0.001 USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTarget unit, e.g. km, lb, celsius
fromYesSource unit, e.g. miles, kg, pood
valueYesThe numeric value to convert

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
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 behavioral burden. It discloses only the pay-per-call cost ($0.001 USDC); it says nothing about permissions, error conditions (e.g. invalid/unknown unit), rounding/precision behavior, or limits. These are meaningful gaps for a paid tool with zero annotation coverage.

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

Conciseness3/5

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

The value/unit enumeration is front-loaded and efficient, but the embedded '-> /x/util/convert' and the pay-per-call cost are jammed into a single run-on line that mixes purpose, endpoint, and billing. It is compact but not cleanly structured.

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 and no output schema, the description must cover behavior fully, yet it omits return format, error handling, and precision/rounding, and only mentions cost. For a paid conversion tool this leaves an agent without essential operational context.

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 coverage is 100%, so all three parameters are already documented with examples in the schema. The description's unit lists (verst/sazhen, pood/funt, etc.) add marginal value by signaling accepted unit synsets, but it does not document parameter syntax beyond what the schema provides. Baseline 3 applies.

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?

States a specific verb (Convert) and resource (value between units), then enumerates the exact unit categories and members supported. This level of detail lets an agent distinguish it from every sibling, none of which perform unit conversion.

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?

Usage is strongly implied by the enumerated unit families, but there are no explicit when-to-use/when-not-to-use rules and no alternatives named. For a single-purpose utility tool this is adequate, but it is not 4-5 quality guidance.

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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