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mustafagoksever

Java Inspector

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v2.3.2

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: analyze_class gives structure, decompile_class gives source, get_inheritance_tree gives hierarchy, scan_dependencies manages indexing, search_class finds classes. No overlapping functionality.

    Naming Consistency5/5

    All tool names follow the verb_noun pattern (analyze_class, decompile_class, get_inheritance_tree, scan_dependencies, search_class) with consistent lowercase snake_case. No mixing of styles.

    Tool Count5/5

    With 5 tools, the server is well-scoped. Each tool covers an essential aspect of Java class inspection from Maven dependencies, providing a focused but complete interface without unnecessary bloat.

    Completeness5/5

    The toolset covers the full lifecycle of class inspection: search, analyze structure, decompile source, explore inheritance hierarchy, and manage dependency scanning. No obvious gaps for the stated purpose.

  • Average 3.8/5 across 5 of 5 tools scored.

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

    • No community issues in the last 6 months
    • 10 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • This repository is licensed under Apache 2.0.

  • 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?

    No annotations provided, so description carries full burden. It discloses background scanning, index auto-indexing, and forceRefresh behavior. However, details about safety, concurrency, or side effects are missing.

    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, front-loaded with purpose, compact and no redundancy. Every sentence is necessary.

    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 format description and return value details. Without an output schema, the description should explain what the response contains, but it only hints at starting/checking a scan.

    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 baseline is 3. The description adds overall context but does not enhance individual parameter meanings beyond the schema's existing descriptions.

    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 clearly states the tool starts or checks a background scan of Maven dependencies, distinguishing it from sibling tools that analyze classes. The verb-resource pairing is specific, though 'start or check' introduces slight ambiguity.

    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?

    Implied usage: first call starts scan, subsequent calls check or force refresh. No explicit when-not-to-use or alternatives are given, but sibling tools operate on different resources, reducing confusion.

    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?

    With no annotations provided, the description carries the transparency burden. It discloses fuzzy search and potential partial results, but does not mention other behavioral traits like read-only nature, permissions, or rate limits. The disclosure is minimal but adequate for a search operation.

    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 extremely concise with two sentences that front-load the core purpose and a key behavioral note. Every word adds value, and there is no redundant information.

    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?

    Given no output schema and missing annotations, the description should provide more context about return values, pagination, or result format. It only mentions partial results but omits details on how results are presented, which is important for an agent invoking the tool.

    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 input schema has 100% description coverage, so parameters are already explained. The description does not add additional meaning beyond the schema. Baseline score of 3 is appropriate since the schema handles the parameter details.

    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 clearly states the tool performs fuzzy search for Java classes within Maven dependencies, which is a specific action and resource. It distinguishes itself from sibling tools like analyze_class or decompile_class by focusing on search rather than analysis or decompilation, but does not explicitly differentiate.

    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 gives context that results may be partial during background scan, but lacks explicit guidance on when to use this tool versus its siblings. It implies usage for searching classes but provides no exclusion criteria or alternatives.

    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?

    With no annotations, description partially covers behavior via on-demand resolution note. Lacks details on side effects, error conditions, or auth requirements.

    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 concise sentences front-load the purpose and add a key behavioral note with no extraneous text.

    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 tool with 3 parameters and no output schema, the description lacks information about return format or behaviors like error handling, making it adequate but not fully 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 coverage is 100% and descriptions cover parameters. The tool description adds no additional parameter meaning beyond what the schema already provides.

    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 retrieves the inheritance hierarchy (superclasses) of a Java class from Maven dependencies, using specific verbs and resources. Differentiates from sibling tools by focusing on inheritance tree.

    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?

    Mentions on-demand class resolution, giving context but no explicit when-to-use or alternatives. Sibling tools listed but not contrasted.

    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 provided, so description carries full burden. It discloses the tool uses javap, returns only signatures, and lists output components. Could mention if Maven installation or specific permissions are required, but overall transparent.

    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, no filler. First sentence states purpose and function, second gives usage guideline. Front-loaded and efficient.

    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 4 parameters, 2 enums, no output schema, the description provides a clear overview. It lacks detailed output structure but compensates by explaining what is returned. Could be slightly more complete on format behavior but sufficient for selection.

    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 has 100% coverage with detailed parameter descriptions. The tool description does not add extra meaning beyond the schema; it reiterates return types but not parameter-specific semantics. Baseline score of 3 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?

    Description uses specific verb 'Analyze' and resource 'Java class structure', and clearly states what it returns (fields, methods, constructors, superclass, interfaces) and what it excludes (method bodies). It effectively distinguishes from siblings like decompile_class and get_inheritance_tree.

    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?

    Explicitly advises to use for 'lightweight overview when you do not need full source code,' providing clear context. However, it does not explicitly state when not to use or name alternatives, though the context hints at decompile_class.

    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 provided, so description carries full burden. It discloses tool behavior: uses Vineflower, returns full source, supports method extraction and pagination. For a read-only tool, this is adequate.

    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, front-loaded with purpose. Every sentence adds value: defines function, describes output, mentions options, gives usage guidance. No wasted words.

    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?

    With 9 parameters, 2 required, no output schema, the description fully explains capabilities: full decompilation, method extraction, pagination. Return format is covered by parameter. Complete for the task.

    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 coverage is 100%, so baseline is 3. Description adds value by explaining methodName extracts single method, paramTypes filters overloads, offset/limit pagination, and format options with context (e.g., Toon reduces tokens). Exceeds baseline.

    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 verb 'decompile', resource 'Java class from Maven dependencies', and outcome 'full Java source code'. Differentiates from siblings by highlighting it returns implementation code, unlike analysis tools.

    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?

    Explicitly states when to use: 'when you need to read the actual implementation'. Does not provide when-not or contrast with alternatives, but the use case is clear and sufficient.

    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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Glama performs regular codebase and documentation scans to:

  • 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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