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get_jupiter_quote

Get Jupiter swap quote: best route, price impact, fees for any Solana token pair. $0.01.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountNoAmount in smallest units (default 1 USDC = 1000000)
api_keyNoYour API key from register()
inputMintNoInput token mint address (default: USDC)EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v
outputMintNoOutput token mint address (default: SOL)So11111111111111111111111111111111111111112
slippageBpsNoSlippage in basis points (default 0.5%)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It hints at potential cost with '$0.01' but fails to mention whether the operation is read-only, any rate limits, authentication requirements beyond api_key, or what the response looks like. The description is sparse on behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one short sentence that front-loads the key action ('Get Jupiter swap quote') and includes important details. It is efficient with no wasted words, though it could be slightly expanded for completeness.

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?

There is no output schema, so the description should explain return values. It mentions 'best route, price impact, fees' but does not detail the structure, potential errors, or edge cases. For a tool that provides a quote, this is insufficient for an agent to fully understand the output.

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?

All 5 parameters have descriptions in the schema (100% coverage), so the baseline is 3. The description adds context that the tool returns 'best route, price impact, fees' which correlates to the parameters but doesn't provide additional meaning beyond the schema's own parameter descriptions.

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

Purpose5/5

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

The description clearly states 'Get Jupiter swap quote' with specifics on what the tool provides (best route, price impact, fees) and that it works for any Solana token pair. It distinguishes itself from sibling tools like get_price or get_arbitrage by focusing on swap quoting.

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?

The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention conditions or prerequisites for use. It simply describes what the tool does without context for decision-making.

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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TDQS

C2.8/5.0
Disambiguation4/5

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.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (e.g., get_price, set_price_alert, analyze_contract). No mixing of conventions.

Tool Count3/5

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.

Completeness4/5

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.

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