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x402-ai-cite

AI Cite: Generate citations with AI.

Input Schema

NameRequiredDescriptionDefault
textNo
styleNo
contentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / properties / content / description
      Removed value: -"Content to process"
    • removedInput schema / properties / style / description
      Removed value: -"Style to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2/5.0
Behavior2/5

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, and it discloses almost nothing. The phrase 'with AI' implies a non-deterministic model call (possible latency/cost), but there is no statement about permissions, rate limits, whether output is deterministic, or what happens on failure. This is a substantial gap for a 3-parameter tool.

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 single sentence is short but front-loads a repetition of the tool title ('AI Cite') before adding any information. It is under-specified rather than concise: words are spent restating the name while the substantive details are omitted.

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?

With 3 undocumented parameters, no annotations, and no output schema, the description is far too thin for the tool's complexity. An agent cannot determine inputs, behavior, or expected output from what is given.

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

Parameters1/5

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

Schema description coverage is 0% and the three parameters (text, style, content) have no descriptions in the schema or the description. The overlapping 'text' vs 'content' pair is genuinely ambiguous and the description does nothing to disambiguate what each should contain or what 'style' accepts (e.g., APA/MLA).

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

Purpose3/5

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

The description states a verb and resource ('Generate citations') and hints at the mechanism ('with AI'), which is more than a bare restatement of the name. However, it does not distinguish this tool from the many other AI-content siblings (x402-ai-summarize, x402-fact-check, x402-ai-extract, etc.), and it never says what kind of citation is produced (academic, legal, web) or in what format.

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 when-to-use guidance, no prerequisites, and no mention of alternatives among the numerous sibling tools. The agent is left to infer from the name alone whether this is the right tool for a citation task.

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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