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Search Nyt Articles

search_nyt_articles
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New York Times home page headlines from the public NYT RSS feed (latest items; keyword filter on title/summary/categories). Headlines and abstracts only. Public feed, no key. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoWords that must all appear in the title or summary (optional, max 200 characters)
limitNoHow many items, 1 to 30 (default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
countNo
itemsNo
sourceNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Adds real context beyond the annotations: it is a public keyless feed and each successful call costs $0.002 USDC via x402 across Base/Solana/Arc, with failed calls uncharged. That billing and auth detail is exactly what annotations cannot express. It stops short of noting rate limits or result freshness/refresh cadence.

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?

Front-loaded with the resource and source, then scope limits, then cost. Dense but every clause carries information; the pricing sentence is long but is genuinely decision-relevant for an agent that must consider spend.

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 readOnlyHint/openWorldHint annotations, an output schema, and full schema coverage, the description only needs to add source scope, access model, and cost — all of which it does. Nothing essential for correct invocation is missing, though freshness characteristics of the RSS feed would round it out.

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%, so both parameters are already documented and the baseline is 3. The description adds a filter-surface hint, but it says the keyword filter runs over 'title/summary/categories' while the schema's q only covers title or summary — a small mismatch rather than added clarity; limit is not mentioned at all.

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?

Specific verb-plus-resource: New York Times home page headlines pulled from the public NYT RSS feed, with an explicit keyword filter over title/summary. It also bounds scope (latest items, headlines and abstracts only), so an agent can distinguish it from full-article extraction tools and from the other single-source news siblings.

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 context is implied rather than stated: 'headlines and abstracts only' signals it is not for full article text, and the RSS-feed framing signals recency-oriented lookup. There is no explicit when-to-use or when-to-prefer-a-sibling guidance (e.g. versus search_article_extractor or search_google_news) and no exclusions stated.

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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