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wganalytics

mcp-ping-server-giulia-ai

by wganalytics

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: ping checks the MCP server itself, echo validates the transport layer, and check_host tests real TCP reachability to a host and port. There is no meaningful overlap or ambiguity.

    Naming Consistency4/5

    The names are all lowercase, short, and readable. ping and echo follow a command-line utility style while check_host uses a verb_noun pattern, so there is a slight stylistic deviation but no conflicting conventions.

    Tool Count5/5

    Three tools is a well-scoped set for a small ping and connectivity server. Each tool earns its place and the count is neither too thin nor bloated.

    Completeness5/5

    The set covers the apparent domain: MCP server health checking, transport testing, and real TCP connectivity checks with latency measurement. There are no obvious missing operations that would prevent an agent from accomplishing the intended tasks.

  • Average 3.9/5 across 3 of 3 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 3 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior3/5

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

    Não há annotations, então a descrição precisa carregar o peso do comportamento. Ela informa que o tool abre uma conexão TCP real e retorna acessibilidade e tempo de resposta, o que é útil. No entanto, não menciona comportamentos como tratamento de timeout, falhas de conexão ou possíveis efeitos colaterais da conexão.

    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?

    A descrição é curta, com duas frases e a informação central vem primeiro. Há uma pequena redundância entre 'TCP REAL' e 'TCP de verdade', mas o texto é eficiente e não desperdiça espaço com detalhes irrelevantes.

    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?

    A ferramenta é simples, possui output schema e a descrição cobre o propósito central e o comportamento básico. Contudo, faltam orientações de uso explícitas e a semântica do parâmetro 'timeout', o que deixa a definição um pouco incompleta para um agente que precisa invocá-la corretamente.

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

    Parameters2/5

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

    A cobertura de descrição no schema é 0%, então a descrição deveria compensar explicando os parâmetros. Ela cobre 'host' e 'port' implicitamente via 'host:porta', mas não explica o parâmetro 'timeout', nem sua unidade ou impacto no comportamento. Com 3 parâmetros e nenhuma descrição no schema, a lacuna é relevante.

    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?

    O nome e a descrição deixam claro que a ferramenta executa um health-check TCP real em host:porta e mede a latência. O verbo 'Faz', o recurso 'host:porta' e a ênfase em 'TCP de verdade' diferenciam bem a ferramenta do sibling 'ping'.

    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?

    A descrição implica que a ferramenta deve ser usada para verificar conectividade TCP e latência, o que a distingue indiretamente de 'ping' e 'echo'. Porém, não há orientação explícita sobre quando usar esta ferramenta versus as alternativas, nem condições de uso ou exclusões.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior4/5

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

    With no annotations, the description carries the transparency burden. It clearly states the behavior: the tool returns the exact input message unchanged. This implies no transformation, no side effects, and makes the tool's behavior predictable, though it does not discuss error behavior.

    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, front-loaded sentence with no filler. It states the core behavior and the use case efficiently.

    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?

    For a simple echo tool with an output schema and one obvious parameter, the description covers the essential behavior and purpose. It could mention alternative sibling tools or error behavior, but those are not critical for a transport-testing utility.

    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 0%, so the description must compensate. It indicates that 'mensagem' is the message to be echoed back, which adds meaning beyond the bare schema property name. However, it does not describe format, constraints, or edge cases, leaving some responsibility to the schema.

    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 states a clear verb and resource: it returns exactly the received message. It also adds the intended purpose, testing the transport layer, which helps distinguish it from the sibling tools ping and check_host, though not explicitly.

    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?

    The description gives a clear use context: 'útil para testar o transporte' indicates when to use the tool. It does not explicitly mention alternatives or exclusion criteria, but the use case is sufficiently clear.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior4/5

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

    With no annotations, the description carries the burden of behavior. It discloses that the tool is a liveness check and specifies the success return value ('pong'). The read-only, side-effect-free nature is reasonably inferable from the health-check framing, though not explicitly stated.

    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, front-loaded sentence that states the primary purpose and return value without any filler or redundancy.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a zero-parameter, single-purpose health-check tool, the description is fully sufficient. It covers what the tool does and what the expected response is, and the output schema handles return-value details.

    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?

    The tool has zero parameters, so there is no parameter information the description needs to add. The baseline of 4 applies here because the schema is already complete and the description has nothing to clarify.

    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 performs a health-check on the MCP server itself and returns 'pong' if alive. This distinguishes it from siblings like check_host, which likely targets external hosts.

    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 phrase 'próprio servidor MCP' implies this is for self-health checks, which hints at when to use it over check_host. However, it does not explicitly mention alternatives or describe when not to use it.

    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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