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Trending Signals

trending_signals

Ranked list of Solana tokens worth paying attention to right now. Composes DexScreener trending + risk scoring + whale-flow into a composite signal with reasoning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of tokens to return
max_risk_scoreNoMaximum risk score (0-1)
min_liquidity_usdNoMinimum liquidity in USD
include_whale_watchNoInclude whale flow signal

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the composite methodology (DexScreener trending + risk scoring + whale-flow) and mentions reasoning. However, it doesn't specify return format, real-time vs cached, or any side effects, leaving some ambiguity.

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?

Two sentences, front-loaded with the core purpose, and every word adds value. It's an appropriately concise description.

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

Completeness3/5

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

For a read-only signal tool with no annotations or output schema, the description explains purpose and methodology but omits details about the output structure (e.g., what 'reasoning' includes) and any limitations. It's adequate but not fully complete.

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. The tool description adds no additional meaning to parameters like 'max_risk_score' or 'include_whale_watch' beyond what the schema already explains.

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 returns a ranked list of Solana tokens with a composite signal. It uses a specific verb ('Composes') and identifies the resource (Solana tokens), but doesn't explicitly distinguish from siblings like 'consensus_signal' or 'feed_latest'.

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

Usage Guidelines3/5

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

Usage is implied: use this to get a ranked list of currently notable Solana tokens. However, the description does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives.

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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