x402-mb-to-gb
Mb To Gb: Convert mb to gb.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mb | No | Mb to process | |
| value | No | Value to process |
Mb To Gb: Convert mb to gb.
| Name | Required | Description | Default |
|---|---|---|---|
| mb | No | Mb to process | |
| value | No | Value to process |
Changes observed during successful MCP inspections.
Input schema / properties / mbAdded value: +{
+ "description": "Mb to process",
+ "type": "string"
+}Input schema / properties / valueAdded value: +{
+ "description": "Value to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden. It does not state whether the conversion is decimal (1 GB = 1000 MB) or binary (1 GB = 1024 MB), what happens with invalid input, or what the return format looks like. For a bare unit-conversion tool this is a modest but real gap.
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 short sentence with no wasted clauses, and the resource pair is front-loaded. It is under-specified rather than over-long, so conciseness itself is fine.
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?
With no annotations, no output schema, and a two-parameter schema whose own descriptions are tautological, the definition leaves the agent without the unit convention, input expectations, or return shape. Given how little structured data exists to lean on, the description should do considerably more.
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 coverage is 100%, but the schema descriptions are themselves near-tautological ('Mb to process', 'Value to process'), leaving real ambiguity: with two parameters named mb and value, an agent cannot tell which is operative or how they relate. The description adds nothing to resolve this, so it does not compensate for the low-quality parameter documentation.
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?
States a specific verb (convert) and resource pair (mb to gb), making the direction of conversion unambiguous even against the sibling x402-gb-to-mb. It is not merely a restatement of the name — it names the source and target units — but it offers no further scope such as rounding behavior or accepted input formats.
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?
No when-to-use or when-not-to-use guidance is given. The sibling x402-gb-to-mb performs the inverse operation, and while the direction is inferable from the name, the description never explicitly routes the agent between the two or notes edge cases like decimal vs binary megabytes.
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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