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fgasparetto
by fgasparetto

update_config

Modify news fetching settings including keywords, language, frequency, auto-publish, and article limits to tailor news collection.

Instructions

Update news configuration. Only provided fields are updated.

Args: keywords: List of keywords to track (e.g. ["AI", "startup", "tech"]) language: Language code: en, it, de, fr, es frequency: Fetch frequency: 1h, 6h, 12h, 24h auto_publish: Auto-publish fetched articles (True/False) max_articles_per_fetch: Max articles per fetch (1-30) use_google_news_fallback: Use Google News when no RSS sources configured active: Enable/disable news fetching notification_email: Email address for article notifications (sent when new articles are fetched) pin_duration_hours: How long a pinned (TOP) article stays on top, in hours (default 48) max_articles: Maximum articles to keep per project (1-300, default 200). Oldest non-locked articles are automatically removed beyond this limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsNo
languageNo
frequencyNo
auto_publishNo
max_articles_per_fetchNo
use_google_news_fallbackNo
activeNo
notification_emailNo
pin_duration_hoursNo
max_articlesNo
Behavior5/5

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

With no annotations, the description fully discloses behaviors: partial update, max_articles auto-removal of oldest non-locked articles, and default pin_duration_hours. This covers critical side effects.

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 bullet points, but slightly lengthy. However, every sentence adds value, and the format is easy to scan.

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?

Given 10 parameters, no output schema, and no annotations, the description covers parameters and behavioral details thoroughly. Missing return value info, but acceptable without output schema.

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

Parameters5/5

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

Schema coverage is 0%, so the description carries the burden. It provides rich semantics for all 10 parameters with examples, valid values (e.g., language codes, frequency options), and range constraints (e.g., max_articles 1-300).

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 clearly states the tool's purpose: 'Update news configuration. Only provided fields are updated.' This distinguishes it from the sibling get_config tool, making the verb and resource explicit.

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?

The description implies usage for updating configurations but lacks explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives or prerequisites like ensuring the config exists.

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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