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x402-prompt-templates

x402-prompt-templates: AI prompt template library.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
limitNoLimit to process
categoryNoCategory to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure, yet it says nothing about whether this is a read-only retrieval tool, what it returns, or any auth, rate limits, or side effects. It offers no behavioral information beyond the label 'library'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, but it is under-specified rather than usefully concise. It reads as a label, not a functional summary, so the brevity does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three parameters, no annotations, and no output schema, the definition is completely inadequate. An agent cannot determine what inputs should be, what the tool returns, or when to invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. However, the schema descriptions themselves are vacuous ('N to process', 'Limit to process', 'Category to process'), and the tool description adds no additional meaning for any parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name with a category label ('AI prompt template library'). It identifies the resource but provides no verb or action, so it does not clarify what the tool actually does versus many sibling AI-oriented tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to use this tool, what the 'category' values might be, or how it relates to alternatives. The description provides no usage context at all.

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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