analyze_solana_token
Deep Solana token analysis: mint authority, freeze authority, supply, decimals, metadata. $0.05.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mint | Yes | SPL token mint address | |
| api_key | Yes |
Deep Solana token analysis: mint authority, freeze authority, supply, decimals, metadata. $0.05.
| Name | Required | Description | Default |
|---|---|---|---|
| mint | Yes | SPL token mint address | |
| 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?
With no annotations, the description carries full burden. It mentions a cost ($0.05) but does not disclose whether the tool is read-only, any required permissions, or rate limits. The term 'deep analysis' is vague.
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 a single concise sentence that includes key details (attributes and cost). It is front-loaded with the core purpose. However, it could be structured with more specifics.
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 low schema coverage, no output schema, and no annotations, the description is incomplete. It does not explain the output format, any prerequisites, or what 'deep analysis' fully entails.
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 50% (only mint described). The description does not explain the 'api_key' parameter format or purpose, nor does it elaborate on the expected format of 'mint'. It adds minimal value beyond the schema.
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 performs a deep Solana token analysis, listing specific attributes like mint authority, freeze authority, supply, decimals, and metadata. This distinguishes it from sibling tools like 'get_coin' or 'get_token_holders' which have different scopes.
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 is provided on when to use this tool versus alternatives. Among many sibling analysis tools, explicit context for selection is missing.
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.