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MEV Intelligence

submit_bundle

Submit a signed Ethereum bundle directly to MEV SearcherNet rbuilder for inclusion. Use this after get_liquidation_waves or get_mev_feed to act on a liquidation opportunity. Bundles are forwarded to rbuilder and fanned out to Flashbots, Titan, Beaver, BuilderNet, and bloXroute relays. Free with API key attribution (X-Api-Key header). Inclusion rate, sim pass rate, and per-builder acceptance available at /orderflow/analytics with provenance. Returns a tracking_id you can use to check submission status at /orderflow/submissions/{tracking_id}. Tip: pair with get_liquidation_waves — identify a borrower near liquidation, construct the liquidation tx, sign it, then call this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
txsYesArray of hex-encoded signed transactions (0x-prefixed RLP). Max 10 per bundle.
api_keyNoOptional. API key for attribution and leaderboard tracking. Assign at mev.advalorem.io.
blockNumberYesTarget block number as hex string (e.g. "0x1400000"). Bundle will only be included in this exact block.
revertingTxHashesNoOptional. Tx hashes that are allowed to revert without invalidating the bundle.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations provide no safety signals (all false), so the description carries the behavioral burden. It reveals that bundles are forwarded to rbuilder and fanned out to multiple relays, mentions the API key attribution requirement, and notes the returned tracking_id. This adds meaningful context about side effects and monitoring without contradicting annotations.

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 front-loaded with the core action, followed by usage context, forwarding details, API key note, analytics reference, and a tip. It is slightly verbose but each sentence contributes useful information; the tip somewhat repeats usage guidance but still adds value. Good structure overall.

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 an action tool with no output schema, the description covers the purpose, usage timing, forwarding behavior, API key requirement, and where to check submission status. It does not explicitly mention error handling or prerequisites beyond having a signed bundle, but the sibling tools provide the pipeline context. Reasonably complete for the complexity.

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 every parameter already described in detail (e.g., max 10 transactions, hex blockNumber, optional revertingTxHashes). The tool description adds no new parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate.

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 opens with 'Submit a signed Ethereum bundle directly to MEV SearcherNet rbuilder for inclusion,' which is a specific verb and resource, clearly distinguishing it from sibling tools that analyze or build transactions. It unambiguously identifies the action and target, making it easy for an agent to know what the tool does.

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?

Explicitly states 'Use this after get_liquidation_waves or get_mev_feed to act on a liquidation opportunity,' providing clear when-to-use context. It also offers a pairing tip but does not explicitly list when not to use it or name alternative submission tools, though siblings imply a unique role.

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

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: building calldata, getting builder recommendations, daily reports, listing borrowers, grabbing an opportunity stream, viewing leaderboards, monitoring crossing candidates, predicting probabilities, recommending submission, and submitting bundles. No overlapping functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lower_snake_case (e.g., build_liquidation_tx, get_builder_recommendation, submit_bundle), making it easy to predict tool behavior from names.

Tool Count5/5

With 10 tools, the set is well-scoped for an MEV intelligence server. It covers the full workflow from opportunity discovery to bundle submission without being bloated or sparse.

Completeness4/5

The tool set covers the core liquidation workflow comprehensively (identify, predict, build, recommend, submit). A minor gap is the lack of a dedicated tool to check submission status, relying on an external endpoint instead.

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