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Raydn

Search news

search_news
Read-onlyIdempotent

Raydn stories with a word or phrase in the headline, summary or article, newest first. Narrow them to some tickers or to a range of dates.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search_news"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many stories, newest first.
queryYesA word or phrase.
tickersNoStock tickers, such as NVDA. Any of them matches.
published_toNoA date (YYYY-MM-DD, US Eastern) or an ISO 8601 time.
published_fromNoA date (YYYY-MM-DD, US Eastern) or an ISO 8601 time.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description does add genuinely new behavioral detail: which fields are matched (headline, summary, article) and the newest-first ordering. It omits what a result contains, behavior on zero matches, and any pagination semantics beyond the limit field, so it does not go much beyond the annotations.

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 short sentences with no filler: search scope first, narrowing options second. Every clause carries information and nothing is repeated from the schema verbatim.

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?

For a five-parameter search tool with no output schema, the definition leaves the shape of a returned story (fields, snippet vs full text, total count) undisclosed, which matters because there is no output schema to compensate. It is adequate for invoking the tool but not for interpreting results.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3; the description earns one above baseline by clarifying that matches are on headline, summary or article text and that tickers/date bounds are optional narrowing filters rather than required scoping. It still says nothing about how a multi-word phrase is tokenized or matched, which is the one semantic gap the schema cannot answer.

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?

States a concrete action and resource: finds stories matching a word or phrase, searching headline, summary and article body, returned newest first. That is far more specific than the name alone. It does not, however, distinguish itself from the sibling latest_news or get_story, so an agent must infer when a full-text search beats a recency feed.

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?

Use is implied by the presence of a query parameter, and the second sentence hints at using tickers or date ranges to narrow results. There is no explicit when-to-use versus latest_news or get_story, and no stated prerequisites or exclusions, leaving selection between siblings to inference.

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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