getMagicEdenRunePriceGet rune market data from Magic Eden as an alternative data source. Use this if Ordiscan returns zero prices for a rune.
| Name | Required | Description | Default |
|---|---|---|---|
| runeName | Yes | The rune name without bullet spacers (e.g., 'DOGGOTOTHEMOON') |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool as read-only, open-world, idempotent, and non-destructive. The description adds little behavioral context beyond the alternative source and fallback use case, but does not contradict annotations.
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?
Two sentences deliver purpose and usage guidance with no wasted words. The key information is front-loaded and easy to scan.
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 simple one-parameter read-only tool with strong annotations and a clear fallback use case, the description is largely complete. It does not explain what 'market data' includes, but that is a minor gap.
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 coverage is 100%, and the parameter description already explains the runeName format. The tool description does not add any further meaning beyond the schema, so baseline 3 is appropriate.
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 the tool gets rune market data from Magic Eden, explicitly identifying it as an alternative data source. This distinguishes it from sibling tools like getRuneMarketInfo and getRuneInfo.
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?
It provides explicit guidance on when to use this tool: 'Use this if Ordiscan returns zero prices for a rune.' This clearly defines the fallback scenario and differentiates it from other rune data 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.
With 113 tools spanning many chains and asset classes, there is substantial overlap. For example, listPositions and getAllPositions appear to serve the same function, and there are many balance, token discovery, and collection data tools that differ mostly by chain or protocol, making misselection likely.
Naming conventions are inconsistent: most tools use camelCase with a verb (baseGetBalances, ethSwapQuote), but some use underscores (nansen_defi_portfolio), others are just bare nouns (wallet, rugcheck), and there are irregularities like solanaBalances instead of solanaGetBalances, plus hederaTokensSwapQuote vs. baseSwapQuote.
The server exposes 113 tools, far beyond the typical well-scoped set. This is an extreme mismatch with the apparent purpose of a wallet/swap server, making discovery and selection difficult for agents.
While the server offers extensive read-only data (balances, market data, NFTs, positions), it lacks core write operations: there is no actual swap execution or token transfer tool, and the referenced emblemCreateVault tool is missing. These are significant gaps that will prevent agents from completing common wallet actions.