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get_trending

Read-onlyIdempotent

The crypto assets trending right now by 24h search volume. Use it when the user asks what is popular, what the market is paying attention to, or wants a discovery view rather than a specific asset lookup.

[Access: pay 0.005 USDC via x402 (PAYMENT-SIGNATURE header) OR authenticate with an API key. An x402-capable client will auto-pay; API-key clients pay nothing per call.]

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": "get_trending"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so safety and mutability are covered structurally. The description adds genuinely non-derivable context — a 0.005 USDC x402 charge with auto-pay for capable clients and free access for API-key clients — but says nothing about how many assets come back, whether the 24h window is configurable, or freshness/caching behavior. Useful, but partial.

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

Conciseness4/5

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

Purpose and selection criteria are front-loaded in the first two clauses, and the access/payment note is bracketed so it does not compete with the functional description. The access paragraph is somewhat dense but each of its two sentences carries distinct information (credential options, then cost asymmetry).

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?

With no input parameters, no output schema and full annotation coverage, the description does the remaining work well by stating the ranking basis, the discovery use case and the commercial terms. It stops short of result size, ordering guarantees or whether the 24h window is fixed, which would be the last gap for an agent needing to report results.

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?

The tool takes zero parameters, which sets the baseline at 4; there is no parameter meaning the description could add or omit. The description correctly implies the result set is scope-free by describing the ranking purely as a global 'trending right now' view.

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

Purpose5/5

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

Names a specific resource (crypto assets) with a concrete ranking metric (24h search volume) and an explicit temporal scope (right now). It also contrasts itself with the sibling get_asset by calling out a 'discovery view rather than a specific asset lookup', so an agent can separate the two without opening any schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use triggers ('user asks what is popular', 'what the market is paying attention to') plus the exclusion condition that selects the alternative tool. The routing decision is fully determined by the text.

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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