Skip to main content
Glama

List recent AI-law changes

list_recent_changes
Read-onlyIdempotent

Unified changelog: time-ordered inserts/updates across the whole dataset. Poll with since = the previous response meta.cursor. Paid feature (Developer+); the lookback window is clamped per tier. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (max 100; free/anon are capped lower).
orderNoSort direction (default desc).
scopeNoOne of: state, federal, eu, global.
sinceNoISO timestamp cursor — only changes observed after this (pass prior meta.cursor).
entityNoRestrict to one dataset (default: both).
offsetNoPagination offset.
significantNoDrop internal metadata-only updates.
jurisdictionNoExact jurisdiction slug (e.g. california, us-federal, eu, canada). See list_jurisdictions.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, etc. Description adds tier-based lookback clamping, paid restriction, and data attribution. No contradictions, but does not detail error handling or exact clamping behavior.

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, front-loaded with purpose and usage pattern, then essential caveats. Every sentence earns its place.

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?

Given 8 parameters and no output schema, description explains core intent and polling mechanism well. Lacks explicit response structure but implies cursor in meta. Sufficient for a list endpoint.

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 covers 100% of parameters with descriptions. Description reinforces 'since' usage and adds tier context for 'limit', but adds little beyond schema.

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?

Description clearly states it's a unified changelog for time-ordered inserts/updates across the dataset, with polling using 'since' cursor. Distinguishes from siblings by focusing on change tracking rather than static lists.

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?

Explicitly describes polling pattern with 'since' parameter and mentions paid feature and tier clamping. Does not provide explicit when-not or alternatives to sibling tools, but usage context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources