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Congress Member Net Worth

GetMemberNetWorth
Read-only

Get a congress member's net worth history from their annual financial disclosures. Disclosed values are ranges, so every year is a band (minimum-maximum), never a point estimate. Only electronically filed reports are read: a missing year means no electronic filing, not zero net worth. Use SearchCongressMembers to find member names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxResultsNoMaximum number of years to return (default: 20, max: 500, newest first)
memberNameYesCongress member name, case-insensitive (e.g., 'Nancy Pelosi', 'Marsha Blackburn'); use SearchCongressMembers to find the exact name

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and destructiveHint, but the description adds valuable behavioral details beyond that: values are always ranges (minimum-maximum), a missing year means no electronic filing rather than zero net worth, and only electronically filed reports are read. This helps set expectations for output and missing data.

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?

Three concise sentences: first states the purpose, second clarifies the output format, third discloses data limitations and search prerequisite. No filler or redundancy; every sentence contributes unique information.

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?

With no output schema, the description fully compensates by explaining that each year is a band (min-max) and that missing years have a specific interpretation. It also covers the input prerequisite and data-source limitation, making it complete for a two-parameter read-only tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are well documented. The description adds extra value by pointing to SearchCongressMembers for memberName lookup and by explaining that the tool returns ranges, which informs how to interpret results. However, it doesn't add much more beyond the schema.

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 begins with a specific verb+resource: 'Get a congress member's net worth history from their annual financial disclosures.' It clearly distinguishes from sibling tools like GetMemberTrades by focusing on net worth rather than trades, and adds unique nuances about range-based values.

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?

Provides clear context on when to use: for net worth history from financial disclosures. It also gives a key prerequisite by directing users to SearchCongressMembers for member names, and explains a data-coverage limitation (only electronic filings). However, it does not explicitly name alternative tools to use instead, such as GetMemberTrades.

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.