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get_elite_leaderboard

Read-onlyIdempotent

Use this when the user specifically asks for the elite leaderboard by SmartScore across exchanges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNo
titleNo
sourceNo
leadersNoRanked traders with score, scoreBreakdown, metrics, rationale[], tier and url (the trader page)
summaryNoCoverage of the run: traders scored, trades counted
lastRunAtNo
updatedAtNo
algorithmDetailsNoHow each scoring component is weighted
algorithmVersionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedOutput schema / additionalProperties
      Previous value: -falseNew value: +true
    • changedOutput schema / properties / leaders / description
      Previous value: -"Ranked traders with score, scoreBreakdown, metrics, rationale[] and tier"New value: +"Ranked traders with score, scoreBreakdown, metrics, rationale[], tier and url (the trader page)"
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety and idempotency profile is fully covered structurally. The description contributes almost nothing beyond that — only the scoring metric (SmartScore) and cross-exchange scope, with no mention of freshness, ranking size, or refresh behavior.

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?

A single short sentence with the usage condition front-loaded and no filler. It is efficient, though it spends its only sentence on routing rather than stating what the tool does outright.

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 an output schema present, return values need not be described, and zero parameters keep the call surface trivial. However, the description never defines what makes the leaderboard 'elite' or what entities it ranks, so an agent must open the output schema to resolve ambiguity about scope and contents.

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 input schema has zero parameters, so there is no parameter semantics burden; the baseline for a no-arg tool is 4. The description appropriately adds no parameter discussion.

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 names a specific resource (the elite leaderboard) and its ranking basis (SmartScore across exchanges), so the agent knows what will be returned. It does not distinguish this tool from related siblings such as get_top_traders or get_signals, leaving overlap unresolved.

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?

It gives an explicit trigger — 'when the user specifically asks for the elite leaderboard' — which implies the tool is user-driven rather than proactive. Beyond that trigger, it names no alternative, no exclusion, and no conditions under which a different leaderboard/trader tool should be chosen instead.

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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