x402-lorem
Lorem: Generate Lorem Ipsum placeholder text. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No |
Lorem: Generate Lorem Ipsum placeholder text. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| n | No |
Changes observed during successful MCP inspections.
Input schema / properties / n / descriptionRemoved value: -"N to process"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden. It does add genuinely non-obvious context - a free trial of 5 calls per signed wallet - which is useful for an agent reasoning about cost and call budgeting. However it says nothing about output shape (paragraphs vs. sentences vs. words), default size when n is omitted, or what happens after the trial is exhausted.
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?
Two short clauses, front-loaded with the purpose and with zero wasted preamble. The emoji and pricing tag are slightly gimmicky but they are compact and at the end rather than burying the purpose.
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 trivial generator this is thin: no annotations, no output schema, and an undocumented and oddly typed parameter. An agent knows what the tool conceptually does but not how to call it correctly or what it will get back, which is exactly what the description should cover in the absence of structured metadata.
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% for the single parameter n, and the description never mentions it. Worse, the schema types n as a string for what is presumably a count/quantity - an ambiguity the description could have resolved but does not. The agent must guess both the meaning and the expected format.
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?
"Generate Lorem Ipsum placeholder text" gives a specific verb and resource that an agent can act on immediately. It loses a point because it does not acknowledge the obvious sibling x402-lorem-ipsum (or the published lorem-ipsum generator endpoint), so an agent scanning the sibling list has no basis for choosing between them.
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?
There is no when-to-use guidance, no prerequisites, and no mention of alternatives, despite at least two near-duplicate Lorem Ipsum tools among the siblings. The only usage-adjacent content is the pricing note, which tells the agent nothing about when this tool is the right pick.
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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