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MEV Intelligence

recommend_bundle_submission

Read-only

Get an actionable bundle submission recommendation for a specific borrower or current market conditions. Returns the best builder to target, expected inclusion probability, and a human-readable reason based on live relay telemetry. Pair with monitor_crossing_candidates — identify a hot candidate, then call this to decide WHERE to submit your bundle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
borrowerNoOptional. Borrower address to get a position-specific recommendation for.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark this as read-only and non-destructive. The description adds valuable behavior beyond annotations: it uses live relay telemetry, falls back to market conditions when no borrower is specified, and returns a human-readable reason. No contradiction exists.

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

Conciseness5/5

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

Three sentences, each with clear purpose: the action, the return values, and the workflow pairing. No filler or redundancy. Front-loaded and well structured.

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

Completeness5/5

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

For a tool with one optional parameter, no output schema, and a read-only annotation, the description is complete. It explains what it does, what it returns, and when to use it. The return shape is described enough in prose to compensate for the missing output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents the single optional 'borrower' parameter at 100% coverage. The description adds important semantic nuance: omitting the borrower switches to market-conditions mode. This extra meaning goes beyond the schema description, justifying a 4.

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's purpose: getting an actionable bundle submission recommendation. It specifies the return values (best builder, inclusion probability, reason) and mentions the optional borrower scope. However, it does not explicitly distinguish itself from the similarly named sibling tool 'get_builder_recommendation', so it stops short of a 5.

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?

The description gives clear usage context: pair with 'monitor_crossing_candidates' after identifying a hot candidate, and use either a specific borrower or current market conditions. It does not explicitly mention when not to use it or name alternative tools, but the workflow guidance is strong enough for a 4.

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.

Resources