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Fund Profile and Top Holdings

GetFundProfile
Read-only

Get a registered fund's profile and largest stored holdings from its latest SEC Form NPORT-P report. Accepts a profile ID, SEC series ID, stored ticker, or verified alias from SearchFunds. Returns registrant, series, assets, reported and stored holding counts, and the largest stored positions. Some multi-series trusts store only tracked-stock positions; reported counts and asset totals still describe the full filing. Use GetFundsHoldingStock for the inverse lookup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fundYesFund profile id, SEC series id, stored series ticker, or verified share-class alias from SearchFunds (e.g., 'ishares-russell-2000-etf-s000004344', 'S000004344', 'IWM', or 'VOO').
offsetNoNumber of ranked holdings to skip before returning rows (default: 0)
maxResultsNoMaximum number of holdings to return, largest first (default: 20, max: 500)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / properties / offset
      Added value: +{
      +  "default": 0,
      +  "description": "Number of ranked holdings to skip before returning rows (default: 0)",
      +  "type": "integer"
      +}
  2. Changed1 schema field changed
    • changedInput schema / properties / fund / description
      Previous value: -"Fund profile id from SearchFunds (e.g., 'ishares-russell-2000-etf-s000004344') or a fund's own ticker (e.g., 'IWM'). Share-class tickers of multi-class mutual funds (e.g. VOO, VFIAX) do not resolve — find the fund by name via SearchFunds."New value: +"Fund profile id, SEC series id, stored series ticker, or verified share-class alias from SearchFunds (e.g., 'ishares-russell-2000-etf-s000004344', 'S000004344', 'IWM', or 'VOO')."
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral nuance: it notes that multi-series trusts may store only tracked-stock positions but that reported counts and asset totals still reflect the full filing. This explains potential data quirks without contradicting annotations, adding value beyond the structured fields.

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 compact and front-loaded: it states the core purpose first, then details return values, then notes a data quirk, and finally points to the alternative. Every sentence serves a purpose, with no redundancy or filler.

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 read-only fund profile tool with three parameters and no output schema, the description provides a complete picture: what it returns (registrant, series, assets, holding counts, largest positions), the acceptable input formats, the underlying SEC form, and a relevant data caveat. Given the annotations and schema, nothing critical is missing for correct invocation.

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 each parameter (fund, offset, maxResults) already documented in detail, including examples for the fund identifier. The description adds no meaning beyond the schema; it only repeats the accepted identifier types and mentions pagination control indirectly. Baseline of 3 is appropriate because the schema carries the full semantic load.

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 states a specific verb and resource: 'Get a registered fund's profile and largest stored holdings from its latest SEC Form NPORT-P report.' It clearly distinguishes from siblings by naming the inverse tool, GetFundsHoldingStock, and specifying the input types accepted. The purpose is unambiguous and distinct.

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 description explicitly says 'Use GetFundsHoldingStock for the inverse lookup,' providing a direct when-not condition and naming the alternative. It also implies when to use this tool by describing the return values and the source data, making the decision between this and related fund tools clear.

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.