getTopRunesByMarketCapGet Bitcoin runes ranked by market cap. Use this to find the most valuable runes by market capitalization. Returns price, market cap, 24h volume, and price change.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of runes to return (max 50) | |
| minMarketCap | No | Filter for runes with market cap above this value in USD |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds meaningful behavioral details: ranking by market cap and the returned fields (price, market cap, 24h volume, price change), which go beyond the 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?
The description is concise at three sentences, but the first two sentences are somewhat redundant ('ranked by market cap' and 'most valuable runes by market capitalization' convey the same idea). Still, every sentence serves a purpose and there is no fluff.
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 read-only list tool with no output schema, the description covers purpose, usage, and return fields. It does not explicitly mention default limit or sorting direction, but the schema covers the limit and the ranking is implied. This is adequate but not fully complete.
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%, so both parameters are fully documented in the schema. The description adds no additional parameter semantics, so the baseline score of 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 clearly states the tool returns Bitcoin runes ranked by market cap, which is a specific verb+resource+scope. It distinguishes from siblings like getTopRunesByVolume by specifying market cap as the ranking criterion.
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?
The description gives clear usage context: 'Use this to find the most valuable runes by market capitalization.' It implies when to use but does not explicitly name alternatives or exclusions, so it falls short of a 5.
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.