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Flash loan provider catalogue

seneschal_flashloan_providers

Curated catalogue of Ethereum mainnet flash-loan providers (Aave V3, Balancer V2, Morpho Blue, Uniswap V3, FlashBank) with current fee in basis points, contract addresses, qualitative liquidity notes, and per-provider caveats. Helpful for searcher agents picking the cheapest viable provider for a liquidation or arbitrage strategy. The catalogue is editorially open: filter by chain, max fee, or multi-asset support.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain key, default "ethereum". Currently only ethereum is catalogued.
max_fee_bpsNoDrop providers whose flat fee exceeds this in basis points (1 bp = 0.01%).
multi_assetNoIf true, only return providers that support borrowing multiple assets in a single flash loan.

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It does add context that the catalogue is 'curated' and 'editorially open', implying a maintained, possibly incomplete list. However, it doesn't mention data freshness, pagination, or that it's a read-only operation, leaving some gaps in behavioral disclosure.

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 dense but efficient, with two sentences covering purpose, contents, use case, and filtering. The first sentence is long but every clause adds detail. The second and third sentences are purposeful, though the filtering sentence partially repeats schema info. No fluff, but not as crisp as a two-sentence minimalist example.

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?

For a simple catalogue query with no output schema, the description adequately explains what results will contain (fee, addresses, liquidity notes, caveats) and the intended use case. It doesn't mention return format or error conditions, but that's likely unnecessary for a read-only filterable catalogue. Complete enough for an agent to select and invoke 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?

Schema coverage is 100%, so baseline is 3. The description reinforces filtering by chain, max fee, or multi-asset support, but it doesn't add meaning beyond what the schema already explains (e.g., max_fee_bps drops providers exceeding the threshold). Description adds no new semantic detail.

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 provides a curated catalogue of specific flash-loan providers (Aave V3, Balancer V2, etc.) with detailed attributes like fees and addresses. It identifies the resource and scope (Ethereum mainnet), distinguishing it from sibling tools that handle agents, borrowers, or health data.

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

Usage Guidelines4/5

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

It gives explicit context: 'Helpful for searcher agents picking the cheapest viable provider for a liquidation or arbitrage strategy.' This tells the agent when to use it, though it does not mention exclusions or alternative tools. Lacks explicit 'when-not-to-use' guidance, so not a 5.

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

A3.9/5.0
Disambiguation4/5

Tools are grouped by domain (board, private_watch, zecmon) with clear lifecycle separation, but seneschal_list_at_risk_borrowers and seneschal_list_borrowers overlap heavily, and the USDC vs crypto variants of private_watch_create/topup could be confused without careful reading.

Naming Consistency4/5

Most tools follow a seneschal_<domain>_<action> pattern, but verb/noun order varies (get_borrower vs list_borrowers vs board_list) and outliers like seneschal_health and seneschal_q break the pattern.

Tool Count3/5

At 35 tools, the server is definitely heavy, but it covers multiple distinct domains (DeFi data, privacy-chain monitoring, notice boards, payments), so the count is at the high end of reasonable rather than absurdly bloated.

Completeness4/5

Core workflows are well covered: borrower discovery/analysis, liquidations, private watch lifecycle, Zcash scanning lifecycle, board operations, and checkout invoices. Minor gaps like board deletion or watch cancellation exist but are workaround-able.