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Executive orders and presidential actions

executive_orders
Read-only

Executive orders, proclamations and memoranda with affected sectors. Any tickers are AI suggestions only (ai_suggested_tickers_unverified), never evidence of company exposure.

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows, 1-25 (default 10)
queryNoWords in the title or summary
sinceNoISO date (YYYY-MM-DD); only rows on or after this date
sectorNoSector label

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

readOnlyHint=true already covers the safety profile, so the bar is lower, yet the description adds real context beyond the annotations: results carry an unverified AI ticker field that agents must not treat as evidence. That is exactly the kind of caveat annotations cannot express, though nothing is said about result size, ordering, or recency defaults.

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?

Two tight sentences: the resource scope first, the critical data caveat second, with zero filler. Every clause carries information an agent would otherwise have to guess.

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?

With no output schema, the description carries the burden of describing returns, and it does name the key fields (sectors, tickers) and warns about ticker reliability. It still leaves the record shape and what a single row contains largely implicit.

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

Parameters3/5

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

Schema description coverage is 100%, so all four parameters (limit, query, since, sector) are already documented with formats and defaults. The description only indirectly echoes the sector filter via 'affected sectors' and adds no syntax or semantics beyond the schema, so baseline 3 applies.

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 names a specific resource set (executive orders, proclamations, memoranda) plus the attached metadata (affected sectors), which is far more precise than the bare name. It does not, however, distinguish itself from the overlapping siblings federal_register and federal_register_document, so an agent must infer where the boundary lies.

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 second sentence gives strong guidance on how to interpret results (tickers are ai_suggested_tickers_unverified, never proof of company exposure), which is effectively a usage rule for the output. There is no guidance on when to pick this over federal_register or federal_register_document, and no stated exclusions.

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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