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Get comment and effective-date deadlines

get_regulatory_deadlines
Read-onlyIdempotent

Upcoming comment deadlines or effective dates from the documents' structured fields, filtered by date range, agency, keywords, or one of your watchlists. Dates are calendar dates as published.

Input Schema

NameRequiredDescriptionDefault
toNoEnd date (default 30 days after start).
fromNoStart date (default today).
limitNo
queryNo
agencyNo
watchlistNoWatchlist name or id.
deadline_typeNo
document_typeNo

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?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds real behavioral context beyond that: results come from structured fields only, and 'Dates are calendar dates as published' warns the agent that no timezone normalization occurs. It still says nothing about the 50-item limit or truncation behavior, which for an open-world list tool is a meaningful omission.

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 sentences, no filler. The primary purpose leads, the filterable dimensions follow, and the date-semantics caveat is a single tight clause. Nothing could be removed without losing information.

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?

For an 8-parameter, zero-required, no-output-schema tool with low schema coverage, the description covers the filtering story but omits the pagination/limit contract and the result shape (e.g. whether each deadline carries the owning document). The core call is understandable, but an agent could over-fetch or misjudge what comes back.

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

Parameters4/5

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

Schema description coverage is only 38%, so the description must carry weight. It does: it maps the core filters (date range, agency, keywords, watchlists) and clarifies that 'keywords' is text search and that 'watchlist' refers to the caller's own watchlist, while 'comment deadlines or effective dates' implies the deadline_type enum. It leaves limit and document_type unexplained, so it compensates substantially but not fully.

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 verb+resource (retrieve comment deadlines / effective dates) and states the source of truth ('the documents' structured fields'), which separates it from narrative-oriented siblings like get_regulatory_timeline or get_regulatory_intelligence_brief. It does not, however, explicitly disambiguate itself from the closest sibling, get_regulatory_timeline, so it stops short of a 5.

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 word 'Upcoming' signals the intended forward-looking use case, and the filter list implies when the tool fits. But there is no explicit when-to-use/when-not guidance and no named alternative (e.g. a timeline or alerts tool) for cases where the agent wants broader context, leaving usage to inference.

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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