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Lulo Get Positions

lulo_getPositions
Read-onlyIdempotent

Get all Lulo lending positions for a wallet. 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: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
walletYesSolana public key (base58)

Output Schema

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

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint, idempotentHint, etc.), the description adds behavioral context: it is a 'paid read-premium' operation, requires cost estimation via sap_estimate_tool_cost, and states that the hosted execution does not receive private keys. This enhances the agent's understanding of the execution model.

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

Conciseness3/5

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

The description is verbose due to repeated SAP boilerplate text (pricing, routing, signer boundary) that appears both in the description and the input schema. The core functionality is stated concisely, but the redundancy and generic guidance reduce clarity and efficiency.

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 (one parameter, output schema exists), the description covers purpose, execution context, and workflow integration. It does not detail the output structure, but that is acceptable since an output schema is present. The description is complete enough for an agent to invoke the tool correctly.

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 only parameter 'wallet' is described in the schema as 'Solana public key (base58)', and the description does not add further meaning. With 100% schema coverage, the baseline of 3 is appropriate; no additional parameter guidance is provided.

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 the tool retrieves all Lulo lending positions for a wallet, specifying the verb 'Get', the resource 'Lulo lending positions', and the scope 'for a wallet'. This distinguishes it from sibling tools like lulo_deposit and lulo_withdraw.

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

Usage Guidelines3/5

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

The description includes generic SAP MCP execution guidance (pricing, routing, signer boundary) but does not explicitly compare this tool to alternatives. It implies usage for read/discovery workflows via the 'Intent' note, but lacks direct when-to-use or when-not-to-use directives relative 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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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.