Get real-time price, bid/ask, spread, and volume for a trading pair
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | Trading pair symbol (e.g., BTC/USDT, INDY/USDT) | |
| exchange | Yes | Exchange to query. Supported: mexc, gateio, bitget, kraken |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It adds 'real-time' and lists the returned metrics, which gives a basic behavioral profile. However, it doesn't disclose error behavior, rate limits, data freshness guarantees, or whether the operation has side effects, though the name suggests it is read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single compact sentence that front-loads the core action and then specifies the exact returned fields. Every word earns its place; there is no filler or repetition of schema information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity two-parameter read tool, the description plus full schema coverage is sufficient for an agent to interpret what the tool returns and what inputs it needs. The returned metrics are enumerated, which partially compensates for the missing output schema. A small gap remains around when to prefer this over sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both parameters having meaningful descriptions and examples, including supported exchanges for the exchange parameter. The description adds no parameter-specific detail, but the schema already handles that burden, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Get') and resource ('ticker'), then enumerates exactly what is returned: real-time price, bid/ask, spread, and volume. This clearly differentiates it from siblings like get_ohlcv and get_orderbook without needing to open the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied rather than explicit. The tool name and return fields suggest it is for current market snapshots, and sibling names like get_ohlcv hint at alternatives, but the description never states when to use get_ticker versus another tool or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are clearly distinct, but cancel_all_orders and stop_strategy both cancel all open orders for a trading pair, creating real ambiguity. The grid strategy tools are otherwise well-separated from the general exchange tools, though start_grid_strategy overlaps somewhat with create_order.
All tool names follow a consistent snake_case verb_noun pattern, such as get_ticker, list_orders, create_order, and stop_strategy. There are no mixed conventions or vague generic verbs.
Fifteen tools is at the upper edge of a well-scoped set, but each tool covers a meaningful operation across exchange trading, Cardano DEX data, and grid strategy management. The count feels slightly broad but not bloated.
The server provides solid coverage for trading workflows: market data, order management, balance retrieval, exchange discovery, and grid strategy lifecycle. Minor gaps exist, such as no way to fetch a specific historical order or modify an existing order, but core operations are covered.