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Jupiter Execute Trigger

jupiter_executeTrigger
Destructive

Submit a signed limit-order transaction for on-chain execution. SAP MCP context: Jupiter protocol tools are served as AgentKit ecosystem tools. Use them for quote, route, and swap preparation, then use SAP transaction preview/sign/submit tools when an unsigned transaction must pass MCP signer policy.

SAP MCP execution guidance: Intent: SAP MCP tool workflow. Pricing: paid value-action; preview cost and transaction effects before user confirmation. Routing: hosted accountless write is blocked; do not call this as a paid hosted write and no x402 payment should be charged. Use the local sap_payments bridge or a hosted unsigned builder when user signing is required. Signer boundary: user-controlled local profile or external signer; OOBE hosted MCP remains non-custodial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestIdYesRequest ID from createLimitOrder response
signedTransactionYesBase64-encoded signed transaction

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesMCP content blocks returned to the caller.
isErrorNoTrue when the tool result represents an application-level error.

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false, so a mutation is expected. The description adds valuable behavioral context: it submits a transaction for on-chain execution, involves 'paid value-action', requires user confirmation, and is non-custodial. This goes beyond what annotations provide, though some redundancy exists with the input schema description.

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

Conciseness2/5

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

The description is overly verbose, with a large block of repetitive SAP MCP context that appears both in the description and the input schema. The core purpose is stated concisely in the first sentence, but the rest is bloated and contains redundant instructions. This diminishes clarity and wastes tokens.

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

Completeness4/5

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

Given the tool's simplicity (2 parameters) and the presence of an output schema, the description adequately covers the high-level workflow. It explains the execution chain and signer requirements. However, it omits details about the return value or how to verify success, though these may be covered by the output schema.

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?

Input schema coverage is 100% with descriptions for both parameters. The description does not add meaningful new information beyond the schema; it repeats the same SAP MCP boilerplate text. The baseline score of 3 is appropriate because the schema already carries the parameter semantics.

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 tool submits a signed limit-order transaction for on-chain execution. The verb 'submit' and resource 'signed limit-order transaction' are specific. However, it does not explicitly distinguish itself from sibling tool 'jupiter_executeOrder', which likely serves a similar but different purpose (e.g., market orders). This lack of differentiation prevents a score of 5.

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 provides extensive but misdirected guidance about SAP MCP execution workflow, but fails to address when to use this tool versus alternatives like jupiter_executeOrder or jupiter_cancelLimitOrder. It does not mention prerequisites such as requiring a previously created limit order or that the transaction must be signed by the user. The agent is left without clear decision logic.

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

B3.2/5.0
Disambiguation4/5

Tools are organized by protocol prefix (e.g., adrena_, jupiter_, sap_) which helps distinguish domains. Within each protocol, tool names clearly indicate actions (e.g., openPosition, getQuote). However, with 360 tools, some cross-protocol overlaps (e.g., multiple swap tools) and many similar fetch tools in the sap_* family require careful reading of descriptions to disambiguate.

Naming Consistency4/5

Each protocol group follows a consistent naming convention (e.g., snake_case for adrena_, camelCase for 3land, sap_ prefix for SAP SDK tools). The mix of conventions across protocols is acceptable, though a uniform style would improve predictability. Minor inconsistency: hyphenated names like metaplex-nft_ vs underscores.

Tool Count2/5

360 tools is far too many for a well-scoped MCP server. This aggregates dozens of protocols and SAP-specific features, making navigation difficult. The server would benefit from being split into focused micro-servers (e.g., SAP identity, Jupiter DEX, NFT tools). The current count overwhelms the coherence of the set.

Completeness4/5

The tool set covers a vast range of Solana ecosystem activities: token operations, swaps, staking, NFT management, bridging, oracle data, identity registration, chat, escrow, subscriptions, and premium streaming. Major lifecycle operations are present, though some niche subdomains may have missing functions (e.g., detailed governance or lending management). Overall, it's comprehensive for the intended scope.