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Jito Send Bundle

jito_sendBundle

Send a Jito bundle for MEV-protected, atomic transaction execution. SAP MCP context: This Synapse AgentKit tool is served beside the sap_* SDK tools. Use sap_agent_identity_plan, sap_payments_register_agent, sap_payments_update_agent, and sap_publish_tool_by_name when the capability should become part of an on-chain SAP agent profile or tool registry entry.

SAP MCP execution guidance: Intent: SAP MCP tool workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. 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
tipLamportsNoRaw token amount (smallest unit)
transactionsYesArray of base64-encoded signed transactions (max 5)

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
Behavior3/5

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

Annotations already indicate the tool is not read-only, not destructive, and not idempotent. The description adds 'atomic transaction execution' and 'MEV-protected' but does not detail side effects, limits, or failure modes. It provides some value beyond annotations but remains incomplete.

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 long with extensive SAP MCP context that is tangential to the core tool function. The first sentence is concise, but subsequent sentences add clutter, reducing overall clarity for an AI agent.

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

Completeness3/5

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

Given the complexity of sending bundles and the presence of an output schema (though not shown), the description covers the basic purpose but omits key details such as success criteria, error handling, and confirmation guarantees. It is adequate but not comprehensive.

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?

Schema coverage is 100%, with both parameters (tipLamports and transactions) described clearly in the schema. The description adds no additional meaning or constraints beyond what the schema already provides, meeting the baseline.

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 'Send a Jito bundle for MEV-protected, atomic transaction execution.' It uses a specific verb and resource, and differentiates from sibling tools like jito_getBundleStatus and jito_getTipEstimate.

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 lacks explicit guidance on when to use this tool versus alternatives. While it includes SAP MCP context about payment routing and signing, it does not explain when to choose Jito bundles over individual transactions or other MEV protection methods.

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.