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search_fabrizio_tweets

Search for recent Fabrizio Romano tweets by keyword (e.g., Haaland, Real Madrid). Filter by tweet count or VIP phrases like 'here we go' to track specific football transfer updates.

Instructions

Busca tweets recientes de Fabrizio Romano sobre un tema específico en la base de datos

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNúmero máximo de tweets a retornar (default: 10)
keywordYesPalabra clave para buscar en los tweets (ej: "Haaland", "Real Madrid", "transfer")
vip_onlyNoSolo buscar tweets VIP con "here we go", "done deal", etc.
Behavior3/5

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

With no annotations provided, the description must carry the burden. It discloses that the tool searches recent tweets in a database, which implies a read-only operation, but it does not explain sorting, pagination, or any limitations. The behavioral traits are minimally described.

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?

The description is a single clear sentence with no unnecessary words. It is front-loaded with the verb and resource, making it highly efficient.

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?

This is a simple search tool with all parameters documented, but there is no output schema and no guidance on result format. The description also does not clarify the difference from 'scrape_fabrizio_tweets', leaving some contextual gaps for a fully informed tool selection.

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%, with each parameter having a description. The tool description adds no additional meaning about parameters, so the baseline score of 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 a specific verb ('Busca') and clearly states the resource: recent tweets about a specific topic in the database. It distinguishes itself from sibling tools like 'scrape_fabrizio_tweets' by explicitly mentioning the database, making the purpose unambiguous.

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 (querying stored tweets by keyword), but it does not explicitly state when to use this tool versus alternatives like 'scrape_fabrizio_tweets' or when not to use it. No clear when/when-not guidance is provided.

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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