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Top Institutional Buyers and Sellers

GetTopInstitutionalBuyersSellers
Read-only

Get the institutions that moved the needle the most on a stock this quarter — biggest absolute share additions (Top Buyers) and biggest absolute share reductions (Top Sellers) versus the previous 13F report date. Includes new positions (Δ = full position) and sold-out positions (Δ = −prior position); a previous holder counts as a seller only if it filed a 13F for the target quarter, so a fund that stopped filing (CIK migration, deregistration) is not shown as a mass seller. While the newest quarter's filing window is open, results cover only the funds that have already filed (noted in the output). Returns a markdown table with two sections. Use this to surface the most actionable quarterly signal from 13F filings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesCompany ticker symbol (e.g., AAPL, MSFT)
maxResultsNoMaximum number of buyers and sellers to return per section (default: 10, clamped to 1-500)
reportDateNoQuarter-end 13F report date in YYYY-MM-DD format, e.g. 2026-03-31 (defaults to the latest available; an off-quarter date snaps to the nearest report on or before it)

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds substantial behavioral detail: the delta calculation, inclusion of new and sold-out positions, the condition that a previous holder only counts if it filed for the target quarter (with CIK migration/deregistration caveat), the open-window limitation, and the markdown table output with two sections. This goes well beyond the annotations.

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?

The description is dense but well-organized: core purpose first, then the mechanics of how the data is computed, then edge cases, then output format, and finally usage guidance. Every sentence earns its place, and there is no redundancy or filler. It reads naturally and front-loads the most important information.

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?

The tool involves quarterly comparison logic and edge cases (filing windows, CIK migration), and the description covers these thoroughly, including the output format (markdown table with two sections). However, it does not specify the exact columns or structure of the returned table, which might be needed for downstream processing. Given the lack of an output schema, this is a minor omission but not critical for selecting the 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?

All three parameters (ticker, maxResults, reportDate) have descriptions in the schema, achieving 100% coverage. The description does not add any additional parameter-specific semantics; it only mentions reportDate snapping indirectly through the description's mention of quarter-end dates, but that's already in the schema. With high schema coverage, the baseline of 3 is appropriate.

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?

The description clearly states the tool's function: retrieving the top institutional buyers and sellers for a stock based on absolute share changes versus the prior 13F report. It uses a specific verb ('Get') and resource ('institutions'), and differentiates itself from related tools by emphasizing 'moved the needle the most' and the quarterly comparison. The purpose is unambiguous and distinct from siblings like GetInstitutionQuarterlyActivity or GetTopHolders.

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?

The description provides explicit usage guidance with 'Use this to surface the most actionable quarterly signal from 13F filings,' and it explains when results may be incomplete (open filing window) and the handling of funds that stopped filing. However, it does not explicitly contrast with alternative tools or state when not to use it, so it stops short of full 5.

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

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with detailed descriptions that cross-reference related alternatives. A few near-duplicate names could cause misselection, notably SearchDocument versus SearchDocuments and GetCftcPositioning versus GetLatestCftcPositioning.

Naming Consistency5/5

Tool names consistently follow a VerbNoun camelCase pattern: Get for retrievals, Search for discovery, List/Read for document access, and Add/Close/Remove/Update/Watch/Create/Delete for portfolio mutations. Despite the large count, there is no mixing of naming conventions or unpredictable verb styles.

Tool Count1/5

108 tools is an extreme surface area, far beyond the 3-15 well-scoped range and well past the 25+ threshold. Even for a broad financial data platform, this creates a heavy selection burden and substantial context overhead for agents.

Completeness4/5

The server covers an unusually wide domain: prices, fundamentals, SEC filings, options, insider activity, 13F holdings, short interest, macro data, funds, IPOs, and full portfolio lifecycle management. Notable gaps remain, such as a basic company profile/ticker-resolution tool, dividend history, and analyst estimates, so it is not a perfect 5.