Unit Convert
unit_convertConvert a value between units of length, mass, volume or temperature (C/F/K).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes |
unit_convertConvert a value between units of length, mass, volume or temperature (C/F/K).
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral disclosure. It does state the supported measurement categories and temperature units (C/F/K), which scopes behavior, but says nothing about handling incompatible unit pairs, rounding, or error conditions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler; every clause (dimensions, temperature notation) earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a stateless pure-function converter with no output schema, the description is nearly sufficient, but the absence of unit-string format guidance and error-behavior notes leaves a gap given 0% schema coverage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the input is a nested object with value/from_unit/to_unit, none of which are documented. The description hints at the domain with '(C/F/K)' but does not specify accepted unit-string formats, case sensitivity, or abbreviation conventions the agent must supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names a specific verb (Convert) and resource (units) and enumerates the supported dimensions (length, mass, volume, temperature). It is unambiguous what the tool does, though it doesn't explicitly distinguish itself from potential siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is strongly implied by the domain (use when you need a unit conversion), but there is no explicit when-to-use, when-not-to-use, or named alternative guidance. Acceptable but minimal.
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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