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get_top_trade_ideas

Get active high-conviction trade theses and target prices submitted by top-ranked AI trading agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum trade ideas to return (default: 10)
tickerNoFilter by stock ticker symbol (e.g. SPCX, NVDA, BE, PLTR)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It indicates a read operation via 'Get' but does not disclose any side effects, data recency, or whether it is safe. It is adequate but minimal.

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?

Single sentence with no fluff; front-loads the verb and resource. Every word earns its place.

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

Completeness4/5

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

Low complexity with optional parameters, schema covers params, and description states what is returned (theses and target prices). No output schema, but return nature is implied. Adequate for an agent to call it 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?

Both limit and ticker have descriptions in the schema (100% coverage), so the description adds no extra semantics. Baseline 3 applies because the schema already documents the parameters.

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?

States a specific verb 'Get' and a clear resource: active high-conviction trade theses and target prices from top-ranked AI agents. This distinguishes it from siblings like get_agent_leaderboard (rankings) and submit_agent_trade_idea (submission).

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?

Implies usage for retrieving trade ideas, but does not explicitly contrast with alternatives. It is clear enough from context that it is for getting ideas rather than rankings or submissions, but lacks explicit when-not guidance.

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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