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TickerInside ETF Holdings

ETF holdings history

get_etf_holdings_history
Read-onlyIdempotent

Use this when the user asks how a US ETF's holdings evolved over time, what it held in a past year or quarter, how often its holdings file changes, or how its overlap with its closest ETFs moved. For the US ETFs that report their stock holdings to the SEC, returns each quarterly Form N-PORT report since 2019 with its date, filing, position count, top 10 weight and five largest positions, and the address of every position at a date. For the stock ETFs read from their issuers' own files, also returns each archived file date (from 1 September 2026) with its position count and top 10 weight, each step's entered, exited and moved counts and turnover, and the overlap by weight with its ten closest ETFs; a step across a change in how the files are read is marked restated. Not for the lines one step added or dropped (get_etf_holdings_changes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoOnly the steps to a file dated on or after this date, written YYYY-MM-DD, for example 2026-09-15.
tickerYesA US ETF ticker, for example VOO or SCHD. Case does not matter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
filesNoOldest first.
stepsNoOldest first.
sourceNo
tickerNo
cadenceNo
coveredNo
historyNo
last_fileNo
file_datesNo
first_fileNo
overlap_by_weight_pctNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Despite annotations already declaring readOnly/idempotent/non-destructive, the description adds substantial behavioral context beyond them: coverage starting 2019 for SEC reporters, archived file dates from 1 September 2026 for issuer-sourced ETFs, the meaning of a 'restated' step across a methodology change, and the exact set of returned fields. This is rich disclosure the annotations cannot convey.

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?

Front-loaded with the when-to-use clause and no filler sentences, but the middle exposition is delivered as one very long, multi-clause sentence that strains readability. Information-dense and non-redundant, but structure could be tightened.

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

Completeness5/5

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

For a history tool with an output schema already present, the description supplies everything an agent needs: trigger conditions, data provenance and coverage windows, the 'restated' caveat, and the explicit sibling exclusion. Nothing essential is missing.

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% with only two parameters, so the schema already documents both `ticker` and the `since` date filter. The description adds conceptual context about 'steps' and file dates but no syntax or format detail the schema lacks, so baseline 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?

States a specific verb+resource (returns historical holdings evolution: quarterly Form N-PORT reports and archived issuer file dates) and explicitly distinguishes itself from sibling get_etf_holdings_changes. An agent can tell exactly what data this returns without opening the schema.

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

Usage Guidelines5/5

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

The opening clause enumerates concrete user intents that should trigger this tool (how holdings evolved, what it held in a past year/quarter, how often the file changes, overlap movement), and the closing sentence explicitly excludes the added/dropped-lines case and routes to get_etf_holdings_changes. Both when-to-use and when-not are covered.

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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