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edudutra
by edudutra

search_similar_content

Identify duplicate Tableau content by searching for similar names. Fuzzy search ranks candidates by similarity score; optionally filter by workbook or datasource type.

Instructions

Busca conteúdo semelhante por nome para evitar duplicação (busca fuzzy).

Lista os candidatos via REST e os ranqueia por similaridade ao termo, do maior para o menor score. Opcionalmente filtra por tipo de conteúdo. Nenhum semelhante encontrado retorna matches=[] com status="success" — ausência de similar não é erro.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNúmero máximo de resultados (1–50).
queryYesTermo de busca (nome ou parte do nome do conteúdo).
content_typeNoFiltra por tipo (`"workbook"`/`"datasource"`); `"all"` não filtra.all

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses via REST, ranks by similarity, optional filtering, and non-error empty result. No destructive behavior mentioned.

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 sentences, front-loaded with purpose, no wasted words. Efficient and clear.

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?

Output schema exists, so description doesn't need to detail returns. It covers behavior when no results and ranking, which is sufficient.

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%, so schema already documents parameters. Description adds minimal extra (only mentions optional type filtering). 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?

Description clearly states it searches for similar content by name using fuzzy search to avoid duplication. This distinguishes it from sibling tools which focus on auditing, lineage, publishing, etc.

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

Usage Guidelines4/5

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

Describes when to use (before creating content to avoid duplicates) and what happens when no matches found (empty list with success status). No explicit when-not usage, but the context is clear.

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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