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edum-compassuol

ViaCEP Brasil MCP Server

by edum-compassuol
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JavaScript
Remote

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.0

  • Disambiguation5/5

    The two tools perform reverse operations—one returns an address for a given CEP, the other returns CEPs for a given address. Their purposes are clearly distinct with no overlap.

    Naming Consistency5/5

    Both tools follow a consistent 'get<Target>By<Query>' pattern, e.g., 'getAddressByCEP' and 'getCEPByAddress'. The naming is symmetric and predictable.

    Tool Count5/5

    With exactly two tools, the set is minimal and perfectly scoped for bidirectional CEP-address lookup. Each tool provides a distinct, necessary function without redundancy.

    Completeness5/5

    The pair covers both directions of the CEP-address mapping, which is the complete domain for a ViaCEP service. No obvious missing operations.

  • Average 3.6/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is failing

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  • 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

  • Behavior2/5

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

    No annotations are provided, so the description carries full burden. It only says 'fetches a list' but does not disclose behavior like result limits, error conditions, or whether multiple CEPs are expected. Minimal behavioral detail is provided.

    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 sentence that is clear and front-loaded. Every word serves a purpose, with no redundancy or filler.

    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?

    For a simple three-parameter lookup tool with no output schema or annotations, the description provides minimal but adequate context. However, it lacks details about result format, potential errors, or differentiation from the sibling tool, leaving some gaps.

    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% (all three parameters have descriptions). The description adds no additional meaning beyond what the schema already provides, so it meets the baseline but does not exceed it.

    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 ('Fetches') and resource ('list of CEPs based on a Brazilian address'). It distinguishes from the sibling getAddressByCEP, which performs the reverse lookup.

    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 the tool is for converting an address to CEPs, but it does not explicitly state when to use it versus getAddressByCEP or any exclusions. Usage is inferred from the name and description.

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

  • Behavior2/5

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

    With no annotations, the description carries the full burden of behavioral disclosure. 'Fetches' implies a read-only operation, but it does not disclose error handling, input validation, formatting expectations, or response structure. Lacks detail beyond the basic action.

    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 sentence that front-loads the verb and resource. No wasted words; it is appropriately sized for the tool's simplicity.

    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 single-parameter tool with full schema coverage, the description plus schema are nearly complete. It lacks explicit return format details, but the purpose statement implies the output. Given the simplicity, it is adequately complete.

    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 'cep' parameter described as 'The 8-digit CEP code.' The tool description mentions 'postal code (CEP)' but adds no additional meaning beyond the schema. Baseline of 3 applies.

    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 ('Fetches') and names the resource ('Brazilian address') and the input ('postal code (CEP)'). It clearly distinguishes from the sibling tool getCEPByAddress, which performs the reverse operation.

    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 when you have a CEP and need an address, but it does not explicitly state when to use this tool over getCEPByAddress or mention any exclusions. No alternative tools are referenced.

    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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