Skip to main content
Glama

house_trades_by_ticker

Retrieve normalized US House trades for a ticker, including trade dates, representative, and transaction amounts in JSON or CSV format.

Instructions

Normalized US House trades: { format: "json", ticker, name, series: [{date, representative, trade_type, amount_min, amount_max, amount_exact, amount_raw}, ...], series_count, series_total } CSV returns the sliced series.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reqYes
Behavior2/5

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

No annotations are provided. The description shows the return format but does not disclose behavioral traits such as rate limits, data freshness, pagination, or what 'normalized' means. The burden is on the description, which is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is short but front-loads the response structure rather than key usage information. It could be more concise by stating the tool's primary function first.

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

Completeness2/5

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

No output schema and low schema coverage. The description provides response structure but is incomplete for an agent to fully understand all parameters, edge cases, or constraints. Additional context is needed.

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

Parameters2/5

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

Schema description coverage is 0%. The description does not explain parameters beyond the schema; it only shows the response structure. It adds minimal meaning for parameters like 'ticker' or 'limit'.

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 clearly indicates the tool returns normalized US House trades for a ticker, and includes a detailed JSON structure. It distinguishes from several sibling tools like 'senate_trades_by_ticker' and screeners.

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

Usage Guidelines3/5

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

The description implies usage by showing parameters (ticker, date range, limit) but provides no explicit guidance on when to use this tool versus alternatives like 'senate_trades_by_ticker' or screeners.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ahmetsbilgin/finbrain-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server