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etf_holders

Read-onlyIdempotent

Which US listed ETFs hold a given company, ranked by how much of each fund it is. USE THIS for any "which ETFs hold X", "which fund holds the most X", or "how do I get exposure to X" question, where X is a company rather than a fund, and for "which bond ETFs hold X's debt". Takes a company name or its ticker. Returns every fund holding its shares with the weight its issuer published and the date that book was filed, and separately every fund holding its bonds or other debt. Covers 31,019 companies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
companyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare the safe read-only, idempotent, non-destructive profile, and the description adds substantive return behavior: per-fund published weight, the filing date of that book, a separate debt-holdings section, and coverage of 31,019 companies. It stops short of describing ordering/pagination mechanics, but for a read tool this is rich 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Content is front-loaded with the routing guidance first and the return/coverage details after. The third sentence is densely packed with multiple clauses but every clause (weights, filing date, debt section, coverage) adds distinct value.

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 usefully describes what comes back, including the split between equity and debt holdings, which is exactly what an agent needs to interpret results. The only omission is the role of the 'limit' parameter.

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 0%, so the description must carry parameter meaning. It explains the key required param ('takes a company name or its ticker') but the 'limit' parameter is undocumented in both schema and description, leaving a real gap.

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 gives a specific verb+resource ('which US listed ETFs hold a given company') and explicitly scopes it against the fund-centric sibling by stating 'where X is a company rather than a fund', so an agent can distinguish it from etf_holdings without opening schemas.

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?

It names the exact question patterns it serves ('which ETFs hold X', 'which fund holds the most X', 'how do I get exposure to X') and adds a distinct case for bond/debt exposure. The when-to-use is explicit and the company-vs-fund exclusion is stated.

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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