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remybanks77

market-pulse-mcp

by remybanks77

market_pulse_candles

Read-onlyIdempotent

Get OHLCV candles for crypto assets from Coinbase. Choose symbol, granularity, and limit to fetch historical price data for market analysis.

Instructions

Get OHLCV candles for a crypto asset from Coinbase.

Args: symbol: Base ticker, e.g. "BTC", "ETH", "SOL". granularity: One of "1m", "5m", "15m", "1h", "6h", "1d". limit: Number of candles to return (max 300).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
symbolYes
granularityNo1h

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, and the description is consistent with these. The description adds the Coinbase source, granularity options, and max limit, but does not disclose ordering, pagination, latency, or other runtime behavior beyond the 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 front-loaded with a one-line summary and followed by a tightly structured Args list. Every sentence adds useful information and there is no filler or repetition of schema defaults.

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 read-only candle fetch, the description covers the key parameters and the output schema supplies return-structure information. It would be slightly more complete with a note on candle ordering or time range behavior, but nothing essential is missing for basic invocation.

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

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the Args section in the description carries the full burden. It gives meaningful semantics for all three parameters: example symbols, valid granularity values, and the max candle limit. This fully compensates for the otherwise bare schema.

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 first line states a clear verb and resource: 'Get OHLCV candles for a crypto asset from Coinbase.' It is specific enough to distinguish from price or orderbook tools, though it does not explicitly name or differentiate a sibling tool.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus siblings like market_pulse_price, market_pulse_indicators, or market_pulse_summary. The intended use is only implied by the word 'candles', leaving the agent to infer the right context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.