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Moralis MCP Server

Moralis MCP Server

Official
by MoralisWeb3
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

solana_balance

Retrieve the native SOL balance for any Solana address on mainnet or devnet networks using blockchain data queries.

Instructions

Gets native balance owned by the given address

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "network": "<network>",
      "address": "<address>"
    },
    "name": "solana_balance"
  }
}

Input Schema

NameRequiredDescriptionDefault
networkYesThe network to query
addressYesThe address to query

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'Gets' data (implying a read-only operation) but doesn't mention rate limits, authentication requirements, error conditions, or the format of the returned balance. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is insufficient for a complete understanding. It doesn't explain what 'native balance' entails (e.g., SOL in lamports or another unit), potential response formats, or error handling. For a tool with no structured behavioral data, more context is needed to be fully actionable.

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?

The input schema has 100% description coverage, with clear documentation for both parameters ('network' and 'address'). The description adds no additional parameter semantics beyond what the schema provides, such as address format examples or network-specific considerations. With high schema coverage, the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Gets') and the resource ('native balance owned by the given address'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'solana_getportfolio' or 'solana_getspl', but the focus on 'native balance' (likely SOL) provides some implicit distinction from token-related queries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools available (e.g., 'solana_getportfolio' for broader balance queries, 'solana_getspl' for token balances), the description offers no context about prerequisites, typical use cases, or comparisons to other tools.

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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