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Inferventis — Financial Data, News & Web MCP

web_news_headlines

Retrieves the latest real-time news headlines and article summaries from BBC News and The Guardian across nine topic categories. Returns structured articles with headline, description, source name, article URL, and publication date — sorted most recent first. No API key required. Use this tool when an agent needs current news about a specific topic, wants to summarise today's headlines, needs to research recent events, monitor a subject area for new developments, or build a news briefing. Do not use this tool to read the full content of a specific article — use web_url_reader instead, passing the article URL returned by this tool. Do not use when news from sources outside BBC News and The Guardian is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of articles to return. Integer between 1 and 20. Defaults to 10. Use a lower number for a quick briefing and a higher number for comprehensive coverage.
topicNoNews topic category to retrieve headlines for. Accepted values: 'general' (top stories across all categories), 'technology' (tech industry and digital news), 'business' (markets, economy, and corporate news), 'science' (research, environment, and discoveries), 'health' (medical and public health news), 'politics' (government and political news), 'sport' (sports and athletics), 'ai' (artificial intelligence and machine learning news), 'world' (international and global news). Defaults to 'general' if omitted or unrecognised.
keywordNoOptional search keyword to filter headlines. Only articles whose title or description contains this keyword will be returned. Case-insensitive. Examples: 'OpenAI', 'interest rates', 'climate change'. Omit to return all headlines for the chosen topic.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses 'No API key required', real-time retrieval, and the exact output fields. However, it does not explicitly mention rate limits, error behavior, or explicitly state that the operation is read-only, though this is strongly implied by 'Retrieves'.

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 and front-loaded with the core purpose, followed by return details, authentication note, usage scenarios, and exclusions. It is slightly longer than the minimal example, but each sentence contributes meaningful information with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of an output schema, the description compensates by listing the exact returned fields (headline, description, source name, URL, publication date) and the sort order. It also covers use cases, exclusions, and source limitations, making it complete for an agent to decide when and how to invoke the tool.

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 schema already fully documents all three parameters. The tool description adds minimal extra value beyond the schema, with the only additional insight being the tip about using a lower limit for a quick briefing. Baseline 3 is appropriate.

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 uses the specific verb 'Retrieves' and identifies exact sources (BBC News, The Guardian) and scope (nine topic categories). It also describes the return structure and sort order, and distinguishes itself from siblings by being the only news tool and explicitly contrasting with web_url_reader.

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 provides explicit when-to-use guidance ('Use this tool when an agent needs current news...') and clear when-not-to-use guidance with an alternative ('Do not use this tool to read the full content... use web_url_reader instead', 'Do not use when news from sources outside BBC News and The Guardian is required'). This goes beyond implied usage.

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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TDQS

A3.9/5.0
Disambiguation3/5

Many tools have overlapping purposes, especially in currency conversion (5 tools) and financial calculations (2 tools). While descriptions are detailed and try to differentiate, the sheer number of similar tools could confuse an agent. The platform_tool_finder tool helps but doesn't fully resolve ambiguity.

Naming Consistency3/5

Naming follows snake_case but is inconsistent: some tools use noun_verb (e.g., currency_convert), others noun_noun (e.g., bank_accounts). There are also variants with suffixes like '_lite' and '_open' which help, but the pattern varies across the set.

Tool Count4/5

20 tools is reasonable for a financial data and news server, covering stocks, crypto, fiat, banking, payments, calculations, and web content. However, there is redundancy (5 fiat converters) that could be streamlined, making the count slightly higher than ideal.

Completeness4/5

The tool set covers a broad range of financial tasks: real-time stocks, crypto, fiat conversion, bank transactions, payments, financial calculations, news, and web reading. Minor gaps exist, such as lack of historical stock data or portfolio tracking, but most common queries can be handled.