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Latest News

latest_news
Read-onlyIdempotent

The newest posts from AI labs, universities, news sites, engineering blogs and newsletters: headline, short excerpt and link (never the full article).

Input Schema

NameRequiredDescriptionDefault
typeNo
limitNo
regionNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and openWorldHint=false, so the safety profile needs no restating. The description's one real addition is the content-depth caveat ('headline, short excerpt and link (never the full article)'), which usefully sets expectations, but it says nothing about freshness window, result ordering, or empty-result behavior.

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?

A single front-loaded sentence with no filler; the source list and output shape are packed efficiently. It is a noun phrase rather than a full statement of action, but nothing is redundant.

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?

Rich annotations and an output schema mean the description need not explain return structure or safety, and it does cover content depth. However, for a feed tool with three unlabeled filter parameters, the absence of any guidance on type/region/limit semantics leaves a meaningful gap.

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

Parameters2/5

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

Schema description coverage is 0%, so the description carries the burden for type, region, and limit — yet it never mentions filtering by source category, region, or result count. The enum values are visible in the schema, but their meaning (e.g. what 'platforms' or 'mea' cover, whether type filters or expands the source list) is left entirely to inference.

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?

Names the concrete resource (newest posts from AI labs, universities, news sites, engineering blogs, newsletters) and what each item contains, so it is clearly a news/aggregation feed rather than a paper or tool lookup. It does not explicitly contrast itself with siblings like latest_papers, trending, or search, 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?

Usage is only implied by 'newest' and the source list; there is no statement of when to call this instead of latest_papers, trending, or search. An agent can infer it is the general news feed, but must guess at the boundary with paper/tool feeds.

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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