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screen_wash_trading

Read-onlyIdempotent

Screen a supplied trade series for repeated volume at nearly equal prices within a declared time window. Return recycled-volume ratio and cycles; a pattern does not prove wash trading.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tradesYes
window_sNo
price_band_pctNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuine value beyond them: it names the outputs (recycled-volume ratio, cycles) and, importantly, warns that a detected pattern does not prove wash trading. It omits sensitivity/threshold behavior on the window and band, but the interpretive caveat is a real addition.

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?

Two sentences, action first, outputs and caveat second — no filler. The only small loss is that the return-value clause could be tightened, but nothing is wasted or redundant.

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

Completeness3/5

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

With no output schema, the description carries the return-value burden, and it only sketches the shape ('ratio and cycles') without naming fields. With 0% schema coverage on three parameters, an agent still lacks units and defaults. Adequate but with clear, fillable gaps for a screening tool.

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 description coverage is 0% and there are three parameters, so the description must compensate. It gestures at each one conceptually ('declared time window', 'nearly equal prices', 'repeated volume') but never uses the parameter names, units (seconds, percent), defaults (3600, 0.25), or permissible ranges, so an agent still has to read the schema to supply values.

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 states a specific verb and resource ('screen a supplied trade series') plus the detection criteria (repeated volume, nearly equal prices, declared time window). That is far more precise than a name-restatement. It does not, however, differentiate itself from any sibling tool, which is largely moot here since no sibling operates in this domain.

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?

Usage is implied rather than stated: the agent can infer this is for post-hoc pattern screening on a trade series it already holds. There is no explicit when-to-use, no when-not-to-use, and no named alternative or prerequisite (e.g., minimum data length, data source).

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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