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Mass Scan

mass_scan

MASS on one selected exchange or comma-separated exchanges. One result per exchange; no blend. Pro key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYes
venuesNo
impact_pctNo
venue_classNoperp

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It discloses key behavioral traits: operates on one or comma-separated exchanges, returns one result per exchange, does not blend, and requires Pro key. However, it omits other behavioral details such as error handling, rate limits, or output format, so partial transparency.

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?

Three sentences with no fluff—every clause contributes information. The description is appropriately short and front-loaded with the core action. It loses one point for not structuring parameter hints, but overall it is compact and readable.

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

Completeness2/5

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

For a 4-parameter tool with zero schema coverage and no annotations, this description is too sparse. It fails to explain the meaning of three parameters, lacks usage guidance, and does not mention output structure despite the existence of an output schema. An agent would struggle to invoke this tool correctly with only this text.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It vaguely hints at venues via 'one selected exchange or comma-separated exchanges' but leaves coin, impact_pct, and venue_class unexplained. The description adds minimal value beyond the schema's bare parameter names.

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 operation ('MASS on exchanges') and distinguishes it from siblings by noting 'one result per exchange; no blend.' It clearly identifies the resource (exchanges) and the action (MASS scan), though it does not define what MASS stands for.

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

Usage Guidelines2/5

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

The description implies usage (when you need MASS data per exchange) but provides no explicit guidance on when to choose this tool over alternatives like mass_map. It mentions a prerequisite ('Pro key required') but does not explain when this is the right tool versus other scan/map tools.

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

A3.8/5.0
Disambiguation4/5

Most tools target distinct analytics functions (order flow, execution cost, strategy testing, market scans). A few pairs overlap—mass_map/mass_scan, market_rotation/top_movers, and market_snapshot/perp_dashboard—but descriptions clarify differences. No tools are truly indistinguishable.

Naming Consistency3/5

Naming style is mixed: some tools use verb+noun (explain_move, fetch_series, get_funding) while others use descriptive noun phrases (carry_pressure, currency_leg, exit_capacity). The names are readable and meaningful, but the pattern is not uniform. It is not chaotic, but lacks a single consistent convention.

Tool Count4/5

22 tools is on the heavier side but reasonable for a comprehensive crypto analytics suite covering market data, execution analysis, risk, and strategy testing. Each tool serves a distinct purpose and contributes to the overall scope. It is not excessive enough to feel bloated.

Completeness5/5

The tool set covers the full analytics lifecycle: market overview, order-flow explanation, execution routing and cost, position limits, options, and strategy backtesting. There are no obvious dead ends; users can research, test, and validate strategies. The coverage is thorough for the stated trading-analytics domain.

Resources