Numwords
numwordsNumber to Words: Integer → English words (offline)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
numwordsNumber to Words: Integer → English words (offline)
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 weight, and it does disclose that the operation is offline and purely transforms an integer into English words. It does not address edge cases such as negative numbers, decimals, large values, or empty input. Despite those gaps, the core behavior is honestly and concisely described.
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?
The description is a single concise sentence with no filler. The key information is front-loaded and every word contributes to the tool's meaning.
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 simple pure conversion tool, the description covers the essential transformation and offline behavior. However, it omits details that matter for correct invocation, such as whether 'q' is required, how empty or invalid input is handled, and any numeric limits. Since an output schema exists, not describing return values is acceptable.
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?
The schema gives a single string parameter 'q' with no description, so coverage is 0% and the description must compensate. It partially does by indicating that the input represents an integer. It does not explicitly map 'q' to the number, address the string/integer type mismatch, or explain the default empty value.
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?
The description clearly defines the tool's function: converting integers to English words. The arrow notation 'Integer → English words' is specific and unambiguous, and the 'offline' qualifier adds useful scope. It lacks an explicit verb like 'converts', but the purpose is not confused with sibling tools.
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 implies usage: call this when a number needs to be expressed as English words. However, it gives no explicit guidance about when to prefer this over related converters, nor does it mention constraints like input range or language variants. The usage is inferable but not explicitly framed.
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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