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Cedricnator

MCP Hello World Server

by Cedricnator

say_hello

Generate personalized greetings by providing a name. This tool creates custom salutations for use in communications or demonstrations.

Instructions

Devuelve un saludo personalizado con el nombre proporcionado

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesEl nombre de la persona a saludar
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns a greeting, implying a read-only operation, but doesn't specify output format (e.g., string structure), error handling, or any side effects. For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves.

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, efficient sentence in Spanish that directly states the tool's function without any redundant information. It's appropriately sized for a simple tool and front-loaded with the core purpose, making it easy to parse quickly.

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 tool's low complexity (one parameter, no annotations, no output schema), the description is minimally adequate. It covers the basic purpose but lacks details on output format, error cases, or behavioral nuances. For such a simple tool, this might suffice, but it doesn't provide a complete picture for reliable agent invocation.

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%, with the single parameter 'name' fully documented in the schema as 'El nombre de la persona a saludar'. The description adds no additional parameter semantics beyond what the schema provides, such as format constraints or examples. With high schema coverage, 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Devuelve un saludo personalizado con el nombre proporcionado' clearly states the tool's purpose: it returns a personalized greeting using the provided name. This is specific (verb 'devuelve' + resource 'saludo personalizado') and distinguishes it from the sibling tool 'calculate_sum', which performs mathematical operations. However, it doesn't explicitly differentiate beyond the obvious functional difference.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, constraints, or scenarios where this tool is preferred over other greeting methods or the sibling 'calculate_sum' tool. The agent must infer usage purely from the purpose statement.

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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