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Get Market Data

get_market_data
Read-onlyIdempotent

Get top cryptocurrencies ranked by market cap with current prices, 24h changes, and volume. Example: get_market_data({ vs_currency: "usd", limit: 10 })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of coins to return, 1-250 (default: 20)
orderNoSort order: "market_cap_desc", "volume_desc", "price_desc" (default: "market_cap_desc")
vs_currencyNoCurrency to show prices in, e.g. "usd", "eur", "btc" (default: "usd")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinsYesTop coins ranked by market cap
countYesNumber of coins returned
vs_currencyYesCurrency prices are displayed in

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  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, openWorldHint, idempotentHint, and destructiveHint, covering safety and side effects. The description adds behavioral context about the data returned (prices, changes, volume) and ranking method (market cap), which goes beyond annotations without contradicting them.

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 a single, clear sentence followed by a helpful example. No unnecessary words or repetition; every part earns its place.

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

Completeness5/5

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

Given the presence of an output schema (not shown but indicated), the description does not need to detail return values. It covers the core functionality and example usage, and the annotations handle safety and idempotency. The description is complete for the tool's complexity.

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 coverage is 100%, so the schema already fully describes all three parameters (limit, order, vs_currency). The description does not add new semantic information beyond the schema; it only provides an example that mirrors the schema. Baseline of 3 is appropriate.

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?

The description clearly states the verb 'Get', the resource 'top cryptocurrencies ranked by market cap', and the specific data fields (current prices, 24h changes, volume). It distinguishes from sibling tools like 'get_coin' (single coin) and 'get_trending' (trending coins), making the purpose unambiguous.

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?

The description provides an example usage but does not explicitly state when to use this tool versus alternatives or mention any exclusions. The example implies typical use, but there is no direct guidance on selection criteria beyond the inferred purpose.

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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TDQS

A3.6/5.0
Disambiguation2/5

Several tools are near-duplicates or have heavily overlapping responsibilities (ask_pipeworx / ask_pipeworx_beta / ask_pipeworx_grounded, polymarket_arbitrage / polymarket_edges / polymarket_fill_risk, and ai_visibility_check / scan_competitor_ai_presence). The many meta/entry-point tools (discover_tools, suggest_questions, pipeworx_trending) also blur the boundary between discovery and execution.

Naming Consistency2/5

Tool names mix imperative verb-first patterns (get_coin, search_coins, validate_claim) with noun-phrase labels (bet_research, entity_profile, pipeworx_trending, polymarket_edge_tracker) and inconsistent prefixes. Snake_case is consistent, but the naming grammar and verb styles are not.

Tool Count2/5

35 tools is well past the comfortable range, and the count feels inflated by duplicate routing modes, overlapping polymarket scanners, and generic memory/meta utilities. A server nominally named Coingecko carries only 4 crypto tools while the overwhelming majority belong to unrelated domains.

Completeness2/5

As a CoinGecko server, the surface is severely incomplete: search/get/market/trending exist but historical prices, OHLC, exchanges, categories, and coin details are missing. As a broader data/prediction-market utility it is more expansive, but the lack of a coherent domain makes coverage impossible to assess as a single product.