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Industrial Platform Market Data

crypto_price

Recurring realtime crypto price lookup for autonomous trading and monitoring. Costs $0.001 USDC on Base via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesCoinbase Exchange product such as BTC-USD, ETH-USD, SOL-USD or ETH-USDC.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
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 does add genuinely useful behavioral context — the tool is paid ($0.001 USDC on Base via x402), which is a real invocation prerequisite an agent must know. Beyond that it says nothing about rate limits, freshness guarantees, caching, or failure behavior, so the disclosure is 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?

Two tight sentences with no filler, and the core purpose is front-loaded ahead of the cost detail. Minor redundancy between "recurring" and "realtime" and the "autonomous trading and monitoring" clause keeps it from a perfect score.

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 one-parameter lookup this is nearly complete on the invocation side, but with no output schema the description never indicates what a result looks like (a scalar price? a pair with timestamp?), nor what happens on an unknown product_id or an unpaid call. Those gaps matter for an agent parsing the response.

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?

The single product_id parameter has 100% schema description coverage, including format examples (BTC-USD, ETH-USDC) and a pattern. The description adds no parameter semantics beyond what the schema already provides, so the baseline 3 for well-covered schemas applies.

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 names a specific verb and resource ("crypto price lookup"), so an agent immediately knows this returns a price. However, it offers no differentiation from the many close siblings such as canonical-crypto-spot-price, crypto-price, crypto-market-snapshot, or crypto-24h-stats, and the modifier "recurring" is ambiguous for what reads like a single-shot lookup.

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?

"for autonomous trading and monitoring" implies a usage context but never states when to choose this over the dozens of adjacent price/market tools. There is no when-not-use guidance and no mention of prerequisites beyond the cost line, leaving routing to inference.

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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