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Tavily News

tavily_news
Read-onlyIdempotent

Recent NEWS coverage with FULL ARTICLE TEXT — "latest news about <company/person/topic>", "news coverage of X this week", "what are people reporting about X", "recent headlines on X". Returns a synthesized answer plus ranked articles each carrying title, url, publication content, and a relevance score — the full text, not just a headline, so the calling agent can quote and cite. Freshness-windowed via days (default 7). This is the premium news path (Tavily, funded key, no per-IP throttle, no shared free-tier quota); prefer it when the question asks what is being REPORTED about a specific entity or topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many days back to search (default 7, max 30).
queryYesThe entity or topic to get news about, e.g. "Anthropic", "GLP-1 drug pricing".
_apiKeyNoOptional — your own Tavily API key for higher limits; omit to use the shared Pipeworx key.
max_resultsNoMaximum number of articles (default 5, max 20).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

The description discloses that this tool returns 'a synthesized answer plus ranked articles each carrying title, url, publication content, and a relevance score — the full text, not just a headline.' This goes beyond the annotations (which already mark it as readOnly, openWorld, idempotent, non-destructive) by detailing the rich return structure and the availability of full article text for quoting and citing.

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?

The description is well-structured with a clear purpose statement, example queries, return content details, and usage guidance—all in a few sentences. It is front-loaded with the core value proposition. Minor redundancy (e.g., repetition of 'full text' and 'not just a headline') could be trimmed, but overall it is efficient and earns its keep.

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?

For a tool with 4 parameters (100% schema coverage) and no output schema, the description covers the return structure, usage context, and parameter defaults adequately. It explicitly mentions the full-text capability, which is critical for an agent that needs to cite sources. The only gap is that it does not explain how the 'synthesized answer' is generated or its format (e.g., summary vs. extractive answer), but this is not a major deficiency given the tool's focus on news retrieval.

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 adds marginal value beyond the schema by providing example queries (e.g., 'Anthropic', 'GLP-1 drug pricing') and noting default values for `days` (7) and `max_results` (5). However, the schema already documents all parameters, and the description does not compensate beyond listing defaults.

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 explicitly states the tool returns 'Recent NEWS coverage with FULL ARTICLE TEXT' and provides concrete example queries like 'latest news about <company/person/topic>'. It clearly distinguishes the tool as a specialized news-focused search, which is distinct from the general 'search' sibling tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit guidance on when to use this tool: when the question asks 'what is being REPORTED about a specific entity or topic.' It also provides usage conditions such as freshness-windowed via `days`, and contrasts it with other tools by calling it the 'premium news path' with funded key and no shared free-tier quota.

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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