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mrgutierrezmario

InsiderTrack MCP

congress_trades

Read-onlyIdempotent

Fetch stock trades disclosed by members of Congress. Filter by ticker, politician, direction, owner, asset type, and date range to examine legislative trading activity.

Instructions

Stock trades disclosed by members of Congress (House and Senate PTRs).

Filter by ticker and/or politician id (from search), direction, who in the household traded, asset type, and a date range on the trade date. Newest first. Amounts are the dollar brackets the law requires, not exact figures. direction already treats a put purchase as the bearish bet it is.

Args: ticker: Exact symbol, e.g. NVDA. politician_id: From search. direction: buy or sell. owner: self, spouse, child or joint. asset_type: stock, option or other. since: Earliest trade date, YYYY-MM-DD. until: Latest trade date, YYYY-MM-DD. limit: Rows to return, 1-100 (default 25).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
ownerNo
sinceNo
untilNo
tickerNo
directionNo
asset_typeNo
politician_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, it discloses three behavioral traits: newest-first order, legally required dollar brackets rather than exact amounts, and the already-normalized direction semantics for put purchases. These are exactly the non-obvious behaviors an agent needs to interpret results correctly.

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: purpose first, then key filter semantics, then a tidy Args block with one line per parameter. No wordy filler or redundant restatement of the schema.

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?

All eight optional parameters receive adequate guidance, and the tool's output-related caveats (sort order, amount granularity, direction normalization) are covered. With annotations covering safety and an output schema present, nothing essential is missing.

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?

With 0% schema description coverage, the description fully compensates by documenting every parameter: ticker format, politician_id origin, direction values, owner values, asset_type values, date format, and limit range with default. This is more informative than the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Stock trades disclosed by members of Congress (House and Senate PTRs)', clearly identifying the resource and data scope. It does not explicitly contrast itself with sibling tools like top_signals or member_track_record, so it stops short of full sibling differentiation.

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?

It gives explicit usage context by enumerating the available filters (ticker, politician_id, direction, owner, asset_type, date range) and noting that politician_id comes from `search`. It does not name alternative tools for signals or track records, but the filter list makes the tool's intended role clear.

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