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Search news & updates

search_news
Read-onlyIdempotent

Read the daily AI news roundups and weekly digests: new models, releases, features and pricing from the past days, newest first. Call it with no arguments to get the latest roundups. Each entry has a date, a summary and a link to its source.

Input Schema

NameRequiredDescriptionDefault
typeNoOptional filter: 'daily-roundup' or 'weekly-digest'. Leave empty for both.
limitNoMax results (default 20, max 50).
queryNoOptional search text. Leave empty to get the newest roundups.

Output Schema

NameRequiredDescriptionDefault
updatesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / query / description
      Previous value: -"Optional search text. If omitted, returns recent updates."New value: +"Optional search text. Leave empty to get the newest roundups."
    • changedInput schema / properties / type / description
      Previous value: -"Optional update type filter, e.g. 'feature', 'pricing'."New value: +"Optional filter: 'daily-roundup' or 'weekly-digest'. Leave empty for both."
  2. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare the full safety profile (readOnly, idempotent, non-destructive, not open-world), so the description only needs to add context. It contributes the 'newest first' ordering, but the entry-structure sentence (date, summary, link) largely duplicates the output schema, and there is no detail on result volume or coverage windows.

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 compact sentences with the purpose front-loaded and no filler. The final sentence about entry fields is mildly redundant given the output schema, but overall the structure is efficient.

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?

With a full schema, an output schema, and complete safety annotations, the description is sufficient to call the tool correctly. The main remaining gap is sibling differentiation for overlapping search/introspection tools, which is a routing concern rather than a calling one.

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 100%, so the baseline is 3. The description reinforces the no-argument default behavior but adds no syntax, format, or filtering detail beyond what the 'type', 'limit', and 'query' schema descriptions already provide.

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?

The description states a specific verb and resource ('Read the daily AI news roundups and weekly digests') and scopes the content to new models, releases, features and pricing. This clearly separates it from siblings like list_blog, search, and list_tools without needing the schemas.

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?

It gives a concrete calling condition ('Call it with no arguments to get the latest roundups'), which tells the agent the common case. It does not name alternatives (e.g. search or list_blog) or state when NOT to use this tool, so it stops short of full routing guidance.

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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