x402-fact-check
Fact Check: Fact Check
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| input | No | Input to process | |
| label | No | Label to process | |
| labels | No | Labels to process | |
| content | No | Content to process |
Fact Check: Fact Check
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| input | No | Input to process | |
| label | No | Label to process | |
| labels | No | Labels to process | |
| content | No | Content to process |
Changes observed during successful MCP inspections.
Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden, and it discloses nothing: no indication of whether this calls an external model, whether it is deterministic, cost/latency, or rate limits. For a zero-annotation tool the description is functionally silent.
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?
It is short, but brevity here comes from under-specification rather than editing; the phrase "Fact Check: Fact Check" repeats itself without front-loading any actionable information. Not wasteful in length, but wasteful in content.
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 annotations, no output schema, five ambiguous optional parameters, and zero explanatory text, an agent has nothing to reason about for invocation or interpretation. The definition is completely inadequate for a tool whose behavior is non-obvious.
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 coverage is nominally 100%, which normally sets a baseline of 3, but the schema descriptions are vacuous boilerplate ("Text to process", "Input to process") and five optional string params (text/input/label/labels/content) overlap heavily. The description does nothing to disambiguate which field holds the claim versus the evidence, so it cannot compensate for the effective 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?
The description is "Fact Check: Fact Check", a pure restatement of the tool name with no verb, resource, or scope beyond the title. It gives no indication of what is checked, against what source, or what the output means. This is the textbook tautology case.
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 prerequisite, and no mention of any alternative among the many similarly named siblings (e.g. x402-verify, x402-hallucination-check, x402-textual-entailment). The agent is left to guess entirely.
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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