Number Words
number_wordsConvert an integer into English words.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes |
number_wordsConvert an integer into English words.
| 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?
No annotations are provided, so the description carries the full behavioral burden. It does not disclose what happens for out-of-range values, negatives, or non-integers, nor the output format (capitalization, hyphenation, "and" usage), leaving real behavioral gaps for a tool with a bounded integer domain.
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?
One short sentence with the action front-loaded and no filler. It is efficiently sized, though its brevity is partly under-specification rather than disciplined conciseness.
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 output schema, no annotations, and an undocumented nested parameter, the description would need to cover return format and edge-case behavior but does neither. An agent knows the rough transformation but not the output contract or failure modes.
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 single required parameter is a nested object (payload.value) with no textual documentation. The description says only "an integer" and fails to mention the meaningful 0 to 999,999,999,999 constraint, so it does not compensate for the coverage gap.
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 ("integer into English words"), which is unambiguous on its own. It does not explicitly distinguish itself from adjacent siblings such as number_ordinal or number_roman, so the agent must infer the boundary from wording alone.
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?
The description gives no when-to-use guidance, no indication of when to prefer number_ordinal or number_roman instead, and no prerequisites. It is purely a statement of function with no routing help.
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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