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Create a regulatory watchlist

track_federal_regulations

Save a persistent watchlist. FedReg Tracker then monitors the Federal Register and Public Inspection on its own schedule and queues alerts and deadline reminders, with no chat open. Example: 'Track new cybersecurity regulations affecting federal contractors' → {name:'cyber-contractors', filters:{keywords:['cybersecurity'], cfr:[{title:48}]}}. Requires an access key.

Input Schema

NameRequiredDescriptionDefault
nameNo
filtersYesWhat to watch. All dimensions you set must match; any value within one may match. rins, dockets and document_numbers match on their own.
alert_preferencesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly=false, idempotent=false and destructive=false. The description goes beyond them with real operational context: the watchlist is persistent, monitoring runs on the tool's own schedule with no chat open, alerts and deadline reminders are queued, and an access key is required.

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

Conciseness4/5

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

Three tight sentences: purpose first, then the behavioral payoff of persistence/background monitoring, then a concrete input example. The example earns its length by demonstrating the nested filter shape; little is wasted.

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?

For a non-idempotent write tool with three top-level parameters, no output schema and low schema coverage, the description supplies the missing essentials: what gets created, that it persists and monitors autonomously, and the auth prerequisite. Only the distinction from manage_regulatory_watchlist is left unaddressed.

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 only 33%, so the description must compensate. Its worked example clarifies how a natural-language request maps onto the nested filters object (keywords array, cfr array with title), which is genuinely useful, but it illustrates only a fraction of the filter dimensions and adds nothing on name or alert_preferences.

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?

States a specific verb and resource: 'Save a persistent watchlist' with FedReg Tracker monitoring the Federal Register and Public Inspection. This is clearly distinct from read-side siblings like list_regulatory_alerts and get_regulatory_deadlines, though it never explicitly names the potentially overlapping manage_regulatory_watchlist sibling.

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 the use case (set up ongoing background monitoring rather than a one-off query) but offers no explicit when-to-use/when-not or routing to alternatives such as manage_regulatory_watchlist for editing an existing watchlist. Usage is inferable but not stated.

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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