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Stelar Signals

by io.github.StelarDigital
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Crypto/text sentiment score (paid: $0.005/call via x402)

sentiment
Read-only

PAID PER CALL ($0.005 USDC on Base via x402). Sentiment score (-1..+1) with label for EXACTLY ONE of text or asset. Unpaid calls return the exact x402 payment terms.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "sentiment"
  }
}

Input Schema

NameRequiredDescriptionDefault
textNoFree text to score (omit if using `asset`)
assetNoAsset symbol (omit if using `text`)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context beyond annotations: the per-call cost, the unpaid-call behavior, and the output shape (score plus label). No contradiction with annotations.

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

Conciseness5/5

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

The description is extremely concise and front-loaded: it opens with the critical payment warning, then states the core semantics and unpaid behavior. Every sentence earns its place with no filler.

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

Completeness4/5

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

For a simple two-parameter read-only tool, the description covers the input constraint, the return format, and the payment gating. The schema and annotations cover the rest. It could be more complete by defining what labels look like, but nothing essential is missing.

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

Parameters4/5

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. The description adds an important semantic constraint not present in the schema: exactly one of text or asset must be supplied, not both and not neither. This meaningfully improves parameter understanding.

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

Purpose4/5

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

The description clearly states the tool's function: produce a sentiment score (-1..+1) with a label for exactly one input of text or asset. It is specific about the resource and operation, though it does not explicitly differentiate itself from the sibling tool crypto_sentiment.

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

Usage Guidelines4/5

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

The description gives clear usage context: the call is paid, exactly one of text or asset must be provided, and unpaid calls return x402 payment terms. It does not mention alternatives or when not to use this tool, but the intended usage is unambiguous.

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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