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openmm-mcp

get_ticker

Get real-time price, bid/ask, spread, and volume for a trading pair

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesTrading pair symbol (e.g., BTC/USDT, INDY/USDT)
exchangeYesExchange to query. Supported: mexc, gateio, bitget, kraken

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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.

Conciseness5/5

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.

Completeness4/5

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.

Parameters3/5

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.

Purpose5/5

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.

Usage Guidelines3/5

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.

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