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Agent Financial Advisor

Current trading rules digest

rules_digest

Free. The current US trading, margin, settlement and tax rules an agent must follow, with effective dates and sources. Includes changes your training data may predate, such as the June 2026 replacement of the Pattern Day Trader rule. Price: free.

Input Schema

NameRequiredDescriptionDefault
topicNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / topic / enum
      Previous value: -[
      -  "intraday_margin",
      -  "legacy_pdt",
      -  "reg_t",
      -  "settlement",
      -  "cash_account",
      -  "short_sale",
      -  "wash_sale",
      -  "holding_period",
      -  "reg_bi"
      -]New value: +[
      +  "intraday_margin",
      +  "legacy_pdt",
      +  "reg_t",
      +  "settlement",
      +  "cash_account",
      +  "short_sale",
      +  "wash_sale",
      +  "holding_period",
      +  "options_margin",
      +  "options_cash_account",
      +  "options_exercise",
      +  "reg_bi"
      +]
  2. First observed

TDQS

B3.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful traits for a reference tool: currency of data, inclusion of effective dates and sources, and that content may postdate the model's training (concrete example: June 2026 PDT replacement). It does not state whether the tool is read-only or whether there are size/pagination limits, but for a static lookup the recency disclosure is the trait that matters.

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?

'Free.' opens the description and 'Price: free.' closes it, restating the same non-behavioral fact twice. The middle content is dense and useful, but the duplicated pricing line is filler that the 10%-weighted conciseness dimension cannot ignore.

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

Completeness3/5

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

Coverage areas and data freshness are covered, which is most of what a caller needs. However, with no output schema and no parameter documentation, the description never says what the returned digest looks like or how the optional topic filter scopes it, leaving gaps for a one-parameter tool.

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% and the single 'topic' parameter is never mentioned in the description — not its purpose, not that it is optional (required=0), and not what happens when it is omitted. The enum values are self-explanatory but the description adds nothing to compensate for the total coverage gap.

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 clearly identifies the resource: a digest of current US trading, margin, settlement and tax rules, with effective dates and sources. That distinguishes it from the sibling action/check tools (pre_trade_check, suitability_check, options_risk_check), though it never names them. Purpose is clear but the retrieval verb is only implied.

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?

Usage is only implied by 'rules an agent must follow' and the note that it covers changes predating training data. There is no explicit statement of when to prefer this digest over siblings like pre_trade_check or strategy_audit, and no mention of when it should be skipped.

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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