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detect_dialect

Identifies the regional Spanish dialect of a text by analyzing keyword patterns.

Instructions

Detect Spanish dialect from text using keyword matching

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to analyze for dialect detection
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions 'keyword matching' which hints at a rule-based approach but does not specify accuracy, return format, or behavior when no dialect is detected.

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 a single, focused sentence that front-loads the key purpose. It is concise but could potentially include more detail without sacrificing brevity.

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?

Given the simplicity of one parameter and no output schema, the description is minimally adequate. However, it does not specify which dialects are supported or the output format, leaving gaps for the agent.

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

Parameters4/5

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

There is only one parameter 'text' with schema description covering 100%. The description adds semantic context by specifying 'Spanish dialect' and 'keyword matching', which enhances understanding beyond the schema alone.

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 action (detect), the resource (Spanish dialect from text), and the method (keyword matching). It effectively distinguishes from sibling tools like 'list_dialects' and 'manage_dialect_variants'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, nor any limitations or exclusions. The description lacks context for appropriate 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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