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MCP Financial Tools

by huntbuilds

get_congressional_trades

Retrieve recent congressional stock trades from House financial disclosures, scored by conviction. Use to track cluster buying signals that historically outperform the market.

Instructions

Get recent congressional stock trades from House financial disclosures.

Congress members are required to disclose stock trades within 45 days under the STOCK Act. Academic research shows they outperform the S&P 500 by 6-12% annually. Cluster buying (multiple members buying the same stock) is especially predictive.

Data source: House Clerk PTR (Periodic Transaction Report) filings.

Args: min_score: Minimum signal score to include (default 0, higher = stronger signal) ticker_filter: Optional ticker symbol to filter for (e.g., "NVDA") limit: Maximum number of results (default 20, max 50)

Returns: JSON with congressional stock trade signals, scored by conviction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_scoreNo
ticker_filterNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses data source (House Clerk PTR filings), factual background, and return format. Does not mention rate limits or auth, but read-only nature is implied.

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?

Well-structured with leading purpose sentence, informative context, and clear parameter list. Not overly verbose, but context paragraph could be slightly trimmed.

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?

Output schema exists, so description needn't detail return fields. Provides legal context and scoring hint. Lacks explanation of score interpretation or pagination, but adequate given schema.

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

Parameters5/5

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

Schema description coverage is 0%, but description adds an 'Args' section that explains each parameter (min_score, ticker_filter, limit) with purpose and defaults, fully compensating.

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?

Clearly states 'Get recent congressional stock trades' with specific verb and resource. Distinguishes from siblings like get_insider_buys by specifying 'congressional' and 'House financial disclosures'.

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, citing the STOCK Act and predictive performance. Notes filtering options but lacks explicit when-not-to-use or alternative tools.

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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