x402-sentiment-polarity
Sentiment Polarity: Scores sentiment from minus one to one using fixed positive and negative word lists 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Sentiment Polarity: Scores sentiment from minus one to one using fixed positive and negative word lists 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Changes observed during successful MCP inspections.
Input schema / properties / input / descriptionRemoved value: -"Input to process"Input schema / properties / text / descriptionRemoved value: -"Text to process"Input schema / properties / inputAdded value: +{
+ "description": "Input to process",
+ "type": "string"
+}Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose real behavioral traits: a bounded -1..1 output and a deterministic lexicon-based method (fixed word lists). It omits error behavior, empty/edge-case handling, and what the two parameters actually mean, and the '5 free trial calls per signed wallet' implies a payment/auth gate without explaining it.
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?
Front-loaded and short: the core behavior and range come first, then the trial note. The emoji and trial-call clause add a little noise but are not egregious.
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 tool with no annotations, no output schema, and an undocumented two-parameter schema containing a redundant-looking 'text'/'input' pair, the description should resolve at least the parameter ambiguity. It instead stops at the scoring mechanism, so the definition is not complete enough to guarantee a correct call.
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% and neither parameter is described in the schema. The description never references either parameter, so the ambiguous pair (text vs input) is left entirely unresolved — an agent cannot tell which field to populate or whether both are expected.
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?
States a specific verb and resource (scores sentiment) with a precise output range (-1 to 1) and the mechanism (fixed positive/negative word lists), so the operation is unambiguous. However, it offers no differentiation from the near-identical siblings x402-sentiment, x402-sentiment-fast and x402-sentiment-score, leaving the agent unable to tell which to pick.
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 and no mention of the three sibling sentiment tools, which is precisely where routing guidance is needed. The only contextual note is a payment/trial statement, not usage guidance.
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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