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arpe-io

io.github.arpe-io/fastbcp-mcp

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by arpe-io

Server Quality Checklist

67%
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  • Latest release: v0.1.5

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: version info, format listing, connection validation (parameter check), command preview, execution, and parallelism suggestion. No overlap.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores, e.g., execute_export, get_version, list_supported_formats. No mixing of conventions.

    Tool Count5/5

    6 tools is well-scoped for a specialized export tool. Each tool covers a necessary step in the workflow without being excessive.

    Completeness4/5

    Covers the main export workflow (preview, execute) along with auxiliary functions (version, formats, parallelism). Minor gap: no actual connectivity test, but parameter validation is present.

  • Average 3.9/5 across 6 of 6 tools scored. Lowest: 3.2/5.

    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
    • Last stable release on
    • 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

  • Behavior2/5

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

    No annotations are provided, so the description must fully disclose behavioral traits. It mentions 'recommendations' but does not clarify whether the tool is read-only or has side effects, leaving uncertainty about its actions.

    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 concise with two sentences, no filler, and directly states the purpose.

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

    Completeness2/5

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

    Missing output schema and no description of return value. For a suggestion tool, agents need to know what format or type the recommendation takes. The description is incomplete in this regard.

    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%, so the schema already documents parameters well. The description adds the overall context of 'source database type and table characteristics' but does not provide additional meaning beyond the schema.

    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 the tool suggests an optimal parallelism method based on source database type and table characteristics, with a focus on best performance. It is distinct from sibling tools like 'execute_export' which performs exports, showing clear differentiation.

    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 explicit guidance on when to use this tool versus alternatives. The description only implies use for optimization but does not provide when-not-to-use or compare with sibling tools.

    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?

    No annotations exist, so the description must carry full burden. It only states the tool lists items, without mentioning side effects, permissions, rate limits, or return format. This is minimal disclosure.

    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 with no unnecessary words. It is front-loaded and efficient.

    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?

    The description covers the main purpose but lacks details about the output format or any behavioral context. Without an output schema, the agent might not know what to expect.

    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 are zero parameters, and schema coverage is 100%. The description does not need to add parameter details, so baseline 4 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?

    The description clearly states the tool lists supported source databases, output formats, and storage targets. It uses a specific verb 'list' and resource, distinguishing it from sibling tools like execute_export or validate_connection.

    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?

    No explicit guidance on when to use or alternatives. The purpose is simple enough that usage is implied, but no exclusions or context are provided.

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

  • Behavior3/5

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

    No annotations provided, so description must carry full burden. It reveals the confirmation safety mechanism and mentions passwords in the command, but does not describe return values, side effects, or what happens on execution.

    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 with no wasted words. Purpose is front-loaded, important detail about confirmation is emphasized with ALL CAPS.

    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?

    No output schema, so description should hint at return value, but it doesn't. However, the tool is low complexity with only 2 params, and the combination of purpose and parameter semantics gives adequate context for an agent to use it correctly.

    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?

    Schema description coverage is 100%, baseline 3. Description adds context beyond schema: it specifies the command must be the exact output from preview_export_command and includes passwords, and explains the confirmation flag is a safety mechanism.

    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 verb 'execute' and the resource 'export command', and distinguishes it from sibling tools like preview_export_command which only previews.

    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 mentions the required confirmation flag and safety mechanism, but does not explicitly state when to use or not use this tool versus alternatives. It implies usage after preview, but no exclusion criteria.

    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?

    No annotations are provided, so the description carries full burden. It discloses the critical behavior that connectivity is not tested, which is essential for correct use. It does not detail return values or error handling, but the limitation disclosure is strong.

    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 concise with only two sentences. The first sentence states the purpose, and the second clarifies a key limitation. Every word is meaningful; no fluff or redundancy.

    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 has a nested parameter object and no output schema, the description is adequate but not complete. It does not explain what the tool returns (e.g., boolean, error list) or how errors are reported. The limitation is well covered, but return behavior is missing.

    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?

    The description adds no meaning beyond the input schema. Schema description coverage is moderate (properties have descriptions), but the tool's description does not elaborate on parameters or their relationships. The agent gains no additional semantic insight from the description.

    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 validates source database connection parameters, and explicitly clarifies it does NOT test connectivity. This is a specific action with a well-defined scope, distinguishing it from sibling tools like execute_export or get_version.

    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 provides clear context on what the tool does and its limitation (no connectivity test). However, it lacks explicit when-to-use or when-not-to-use guidance compared to alternatives, though the limitation serves as an implicit caution.

    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 adequately indicates a read-only operation returning multiple pieces of information. It does not disclose potential network dependencies or caching behavior, but is sufficient for a simple info retrieval.

    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 concise sentence that lists the returned items without redundancy. Every word is essential.

    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?

    Given no output schema and zero parameters, the description covers the main aspects of what the tool returns. It could be improved by hinting at the output format (e.g., JSON), but is otherwise complete.

    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 are no parameters, and schema coverage is 100% trivially. The description adds no parameter details, but none are needed. Baseline score of 4 applies for zero-parameter tools.

    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 returns the FastBCP binary version, capabilities, and supported source types, output formats, and storage targets. This is specific and distinct from sibling tools like list_supported_formats, which likely focuses only on formats.

    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 use for checking capabilities and version, but provides no explicit guidance on when to use this vs. siblings like list_supported_formats or validate_connection. No exclusions or alternatives are mentioned.

    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 provided, the description carries full burden. It discloses key behaviors: no execution and password masking. However, it does not mention potential validation steps or output format, which is acceptable for a preview tool.

    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 three sentences, front-loaded, and to the point. Every sentence adds value, and there is no wasted text.

    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?

    Given the tool's complexity (many parameters, nested objects, no output schema), the description adequately sets expectations: it shows the command with masked passwords. It mentions the relationship to export execution. A mention of the return format would improve completeness.

    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?

    The description does not add parameter-level detail beyond the schema. Given the low schema description coverage (40%), the description should compensate but does not. However, the schema itself has descriptions for many parameters, and the preview context helps interpret them.

    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 that the tool builds and previews a FastBCP export command without executing it. It distinguishes itself from sibling tools like 'execute_export' by emphasizing the preview nature.

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

    Usage Guidelines5/5

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

    The description explicitly instructs 'Use this FIRST before executing any export,' providing clear guidance on when to use this tool over others. It implies that for actual execution, one should use the sibling tool.

    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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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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