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MEV Intelligence

get_daily_liquidation_report

Read-only

Get a daily intelligence report summarizing liquidation market activity: competitor count, positions we would have fired on, funnel metrics (PRE→SIM→HOTFIRE→SUBMIT→LANDED), and the top candidate right now. This is the "morning briefing" tool — call it once per session to understand market state before executing. Full accuracy archive with precision/recall metrics available at /intelligence/accuracy-archive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
window_hoursNoLookback window in hours (default 24, max 48).

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, non-destructive, and open-world behavior. The description adds value beyond annotations by specifying the 'morning briefing' usage pattern, the report's scope, and pointing to a full accuracy archive at /intelligence/accuracy-archive for deeper metrics. This provides behavioral context 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.

Conciseness5/5

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

The description is three sentences, each earning its place: the first states the purpose and contents, the second gives usage guidance, and the third points to supplementary resources. It is front-loaded, efficient, and free of fluff.

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 simple read-only report with one optional parameter and no output schema, the description is complete. It explains what the report contains, when to call it, and where to find more detailed accuracy metrics, fully equipping the agent to select and 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?

Schema coverage is 100%, with the single parameter 'window_hours' already described in the schema ('Lookback window in hours (default 24, max 48)'). The tool description does not add any parameter-specific 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 clearly states the tool's purpose with a specific verb ('Get') and resource ('daily intelligence report summarizing liquidation market activity'). It enumerates the report's contents (competitor count, positions, funnel metrics, top candidate) and distinguishes it from sibling tools by positioning it as the 'morning briefing' tool.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use guidance: 'call it once per session to understand market state before executing.' This contextualizes the tool within a workflow and implies it should be used before other execution tools, offering clear usage direction without needing to name alternatives.

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