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List law updates and their impact

list_law_updates
Read-onlyIdempotent

Changes to automatic-renewal law that Checkbox tracks (catalog changes, laws taking effect or sunsetting), newest first, each with its effect on this account's sites. Use it for "did anything change?" or before a launch in a new state.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_law_updates"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many to return (1-100, default 10).
sinceNoOnly changes on or after this date (YYYY-MM-DD).
starting_afterNoPagination cursor: the last id of the previous page (when has_more was true).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds real value by disclosing ordering (newest first) and that each entry carries an account-specific impact assessment. It says nothing about result volume, pagination behavior beyond what the schema states, or what an entry looks like structurally, which matters since there is no output schema.

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 with no waste: content and ordering are front-loaded, usage follows. Every clause earns its place and there is no restatement of the name or annotations.

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 three-parameter, all-optional read tool with no output schema, the description covers what is returned at the item level (effect on this account's sites) and when to call it. The remaining gap is the exact shape of a returned entry and page-size behavior, which an agent must infer from the schema.

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 coverage is 100% and all three optional parameters (limit with range and default, since with YYYY-MM-DD pattern, starting_after cursor) are fully documented in the schema. The description adds only an implicit hint of ordering via "newest first" and no syntax or format detail beyond the schema, so the baseline 3 is appropriate.

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

Purpose5/5

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

States a specific resource (automatic-renewal law changes Checkbox tracks), the exact content categories (catalog changes, laws taking effect or sunsetting), the ordering (newest first) and per-item payload (effect on this account's sites). An agent can distinguish this from siblings like get_compliance_plan or list_findings on name and description alone.

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?

Gives concrete triggering contexts: a "did anything change?" check, or pre-launch verification in a new state. It does not name an alternative tool or state when not to use this one, so the routing guidance stops just short of fully explicit.

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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