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Big money on a ticker

get_ticker_big_money
Read-only

What the big money is doing in one ticker: recent US politician trades (congressional PTR filings, last 180 days), 13F whale holdings (latest quarters) and Wall Street analyst ratings with consensus and price targets. A section that fails to load is returned with an error instead of failing the call.

Input Schema

NameRequiredDescriptionDefault
symbolYesTicker symbol, e.g. AAPL, NVDA or BRK.B.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuine behavioral context beyond that: it discloses the time windows of each data section (last 180 days, latest quarters) and, importantly, that a failing section returns an error inline rather than aborting the whole call. That partial-failure contract is exactly the kind of trait annotations cannot express.

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, front-loaded with the payload contents and closed with the failure-mode note. No filler. The middle list is dense but each clause earns its place by naming a distinct data section.

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?

With no output schema, the description does the work of describing return contents (three named sections with their time horizons) and the error-handling contract, which is sufficient for a one-parameter read tool. Only the response shape of each section remains unspecified, a minor gap.

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 100% and there is a single, fully documented 'symbol' parameter with format examples, so the schema carries the load. The description adds nothing about the symbol beyond what the schema already says; baseline 3 is appropriate.

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 resource and enumerates its contents precisely: politician trades (congressional PTR filings, last 180 days), 13F whale holdings, and analyst ratings with consensus and price targets. This clearly separates it in spirit from get_ticker_snapshot, but it never names or contrasts with that sibling explicitly, so it stops short of a 5.

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?

There is no when-to-use, when-not-to-use, or alternative routing guidance. The agent must infer that this is the 'sentiment/flow' complement to get_ticker_snapshot purely from the content list; nothing tells it which to reach for when.

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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