get_ohlc
OHLC chart data: 1d, 7d, 30d, 90d candlesticks. $0.01.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| vs | No | usd | |
| coin | No | bitcoin | |
| days | No | ||
| api_key | Yes |
OHLC chart data: 1d, 7d, 30d, 90d candlesticks. $0.01.
| Name | Required | Description | Default |
|---|---|---|---|
| vs | No | usd | |
| coin | No | bitcoin | |
| days | No | ||
| api_key | Yes |
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 provided, so description carries full burden. It discloses a cost of $0.01, which is a behavioral trait, but fails to mention other aspects like data freshness, rate limits, or side effects. Missing detail on return format.
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 very short (one sentence), which is concise but lacks necessary detail. It front-loads the main purpose but misses structure and completeness.
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?
Given 4 parameters and no output schema, the description is incomplete. It omits parameter explanations, return value structure, and usage context, making it insufficient for effective tool selection.
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 0%, so description must compensate. It does not explain any of the parameters (vs, coin, days, api_key) beyond implying 'days' through the listed periods. No guidance on valid values or defaults.
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 clearly states it provides OHLC chart data with specific periods (1d, 7d, 30d, 90d candlesticks). However, it does not differentiate from similar tools like get_price or get_summary, which may also return historical data.
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?
No guidance on when to use this tool versus alternatives. The description does not mention context for use, exclusions, or compare with sibling tools.
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.
Tools generally have distinct purposes, but some overlap exists between price history tools (get_ohlc vs get_price_summary) and meme-related tools (analyze vs scan vs trending). Overall, descriptions help differentiate.
All tool names follow a consistent snake_case verb_noun pattern (e.g., get_price, set_price_alert, analyze_contract). No mixing of conventions.
48 tools is on the higher side, but it covers a broad spectrum of crypto data (prices, DeFi, sentiment, alerts, etc.) and each tool seems justified. However, the count could be slimmed down by grouping similar functions.
Very comprehensive coverage of crypto data: prices, market stats, DeFi, sentiment, gas, alerts, portfolio, arbitrage, token analysis. Minor gaps like NFT data or direct exchange rate queries.