AI Law Tracker

List AI-law news headlines

list_ai_law_news

Read-onlyIdempotent

The audited AI-regulation news feed: headline + short excerpt + publisher + source URL (never full article text). Free/anon get a taste (fewer results, newest only, excerpt withheld); Developer+ gets the full archive with excerpts. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.

Input Schema

TableJSON Schema

Name	Required	Description
`q`	No	Keyword substring over headline + excerpt.
`to`	No	Only headlines published on/before this date (YYYY-MM-DD).
`from`	No	Only headlines published on/after this date (YYYY-MM-DD).
`limit`	No	Page size (max 100; free/anon are capped lower).
`scope`	No	One of: state, federal, eu, global.
`since`	No	Alias for `from`.
`offset`	No	Pagination offset.
`jurisdiction`	No	Exact jurisdiction slug (e.g. california, us-federal, eu, canada). See list_jurisdictions.

TDQS

A4.4/5.0

Behavior5/5

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

Adds key behavioral details: never returns full article text, data source (AI Law Tracker, CC BY 4.0), informational only disclaimer. Aligns with annotations (readOnlyHint, etc.).

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 well-structured sentences covering returned fields, access tiers, licensing, and disclaimer. No wordiness, front-loaded with core action.

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?

Provides sufficient context for a news listing tool with 8 parameters and no output schema. Covers access limitations, data source, and disclaimer. Lacks detail on pagination or query syntax, but schema partially covers.

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% with individual parameter descriptions. The tool description adds overall context but does not enhance individual parameter understanding 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 lists audited AI-regulation news headlines with specific fields (headline, excerpt, publisher, source URL) and distinguishes from sibling tools like list_ai_laws or get_ai_law by focusing on news feed.

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?

Describes access tiers (free/anon vs Developer+) and the data scope, but does not explicitly guide when to use this tool over siblings like list_law_feed or search_ai_laws.

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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TDQS

A3.8/5.0

Disambiguation1/5

Multiple tools are nearly interchangeable: assess_ai_compliance and generate_compliance_report both take a business profile and return risk score plus obligations, and get_sector_detail overlaps with get_ai_obligations/get_ai_penalties. Additionally, list_recent_changes and list_law_feed both describe dataset changes, while list_jurisdictions overlaps with list_countries and list_us_states. An agent cannot reliably pick the right tool without reading fine print.

Naming Consistency4/5

The set mostly follows a consistent snake_case verb_noun pattern (get_ai_law, list_sectors, search_court_opinions). Minor deviations exist: assess_ai_compliance and generate_compliance_report use different verb styles for near-identical actions, and list_ai_law_news is inconsistent with list_ai_laws. Overall the pattern is still predictable and readable.

Tool Count2/5

With 28 tools, the server exceeds the comfortable range and includes several redundant or overlapping endpoints that could be consolidated. The broad domain justifies a larger surface, but duplicates like assess_ai_compliance/generate_compliance_report and the three jurisdiction listers make the count feel inflated rather than well-scoped.

Completeness4/5

The tool surface covers the core read-only AI-law workflow well: search and retrieve laws, obligations, penalties, deadlines, sectors, jurisdictions, bills, court opinions, news, and change history. Minor gaps remain, such as no way to fetch a single obligation/penalty record by ID and no separate news-detail endpoint, but these are workable and not dead ends.

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