Server Quality Checklist

Tool Scores

• get_review_reportC
  2.7/5.0
  Behavior2/5

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

  No annotations are provided, placing full burden on the description. It only indicates a read operation (Get) without disclosing aspects like authentication requirements, error handling for invalid reportId, or any side effects.

  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?

  The description is a single sentence with no fluff, achieving brevity. However, it could include more useful context without being verbose.

  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?

  With no output schema and no annotations, the description is too minimal. It lacks details about the report's structure, content, or any potential limitations, leaving the agent underinformed.

  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?

  Schema coverage is 50% (reportId has description, output does not). The description mentions 'reportId' but adds no additional meaning beyond what the schema already provides; the output parameter is not described at all.

  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 action (Get), the resource (previously generated GitLumen MCP report), and the identifier method (by reportId). It is specific and distinguishable from sibling tools like screen_repository which generates reports.

  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 such as list_review_reports. The description implies usage for retrieving a specific report, but lacks conditions or exclusions.

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

• list_review_reportsB
  3/5.0
  Behavior2/5

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

  As a listing tool, it is presumably non-destructive, but the description does not confirm this or disclose any additional behavioral traits like auth requirements or side effects. With no annotations, the description carries full burden and falls short.

  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?

  Extremely concise: one sentence of 8 words. No wasted language. Appropriate length for a simple tool.

  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 basic purpose but omits details like return format, ordering, or relationship to sibling tools. For a simple list tool with one parameter, it is adequate but not comprehensive.

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

  Parameters1/5

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

  Schema description coverage is 0%, and the tool description does not mention the limit parameter at all. The agent must infer its meaning solely from the schema's type and constraints, which is insufficient for full understanding.

  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 'list' and the resource 'previously generated GitLumen MCP reports stored locally'. It adequately distinguishes from sibling tools like get_review_report (single report retrieval) and screen_repository (likely different scope).

  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 guidance on when to use this tool versus alternatives such as get_review_report. No exclusions or contextual cues provided.

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

• explain_gitlumen_mcp_flowB
  3.1/5.0
  Behavior2/5

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

  No annotations are provided, so the description bears full responsibility for disclosing behavioral traits. It only states what the tool does, with no mention of side effects, safety, read-only nature, or authentication requirements. For a tool that likely performs no mutations, the lack of transparency is a significant gap.

  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, well-structured sentence that gets directly to the point. It is front-loaded with the core action 'Explain' and specifies the exact scope of the explanation. No wasted words.

  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 the absence of output schema and annotations, the description is the sole source of context. It fails to define key terms like 'Path 1' and 'Base MCP Path 2', nor does it describe the output format or expected content. Sibling tools involve repository operations, so a user might need to understand the overall flow, but this description is too minimal to be fully informative.

  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, and schema coverage is 100% by definition. The description does not need to add parameter details. However, it misses the opportunity to clarify that no inputs are required, which would reinforce the schema. Baseline 4 is appropriate given the lack of parameters.

  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's purpose: to explain how the Path 1 MCP server fits into GitLumen and connects to Base MCP Path 2. The verb 'explain' and the specific subject matter distinguish it from sibling tools like screen_repository or get_review_report. However, it assumes familiarity with 'Path 1' and 'Path 2' without defining them, which slightly reduces clarity.

  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 guidance is provided on when to use this tool versus alternatives. It does not specify prerequisites, such as needing an existing GitLumen context, or scenarios where this tool is appropriate. The description is purely declarative with no contextual cues to aid selection.

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

• screen_repositoryB
  3.2/5.0
  Behavior2/5

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

  No annotations provided, so description must disclose behavioral traits. It mentions supported URL types and scope depth but lacks details on side effects, permissions, rate limits, or whether tool is read-only.

  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 waste. Front-loaded with purpose. Efficient and clear.

  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?

  With 5 parameters, no output schema, and no annotations, the description should provide more context about output formats, behavior for different scopes, and fallback logic. It omits important details for agent to understand full behavior.

  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 covers 100% of parameters, so baseline is 3. Description adds value by clarifying that repoUrl accepts both repo and PR URLs. No additional context for other parameters beyond 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?

  Clearly states action (screen), target (GitHub repo or PR URL), and output (GitLumen risk report). Distinguishes from sibling tools that retrieve existing reports.

  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 guidance on when to use this tool versus alternatives like get_review_report or list_review_reports. Agent must infer from name and context.

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

• get_repository_structureB
  3.4/5.0
  Behavior3/5

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

  With no annotations, the description must fully convey behavioral traits. It implies a read-only fetch operation with no side effects, which is appropriate. However, it does not mention authentication needs, rate limits, error handling for private repos, or the fact that results are limited (as indicated by the 'limit' parameter). The description is adequate but not exhaustive.

  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?

  The description is a single, front-loaded sentence that efficiently conveys the primary purpose and a key differentiator. It avoids unnecessary detail, making it easy to parse. A slight improvement could be to structure it with more detail about return format, but it is already concise and clear.

  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 (3 parameters, no output schema, no nested objects), the description is adequate but not complete. It omits the return type (e.g., tree of files) and any constraints like rate limits or authentication. An agent would need to infer or test to fully understand the output, which is a gap.

  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 in the schema). The tool description adds no additional meaning beyond what the schema provides, so a baseline score of 3 is appropriate. It does not explain defaults, relationships, or usage tips for the parameters.

  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?

  Description clearly states the action ('Fetch') and the resource ('public GitHub repository or PR structure'), and distinguishes from sibling tools by adding 'without generating a full risk report'. It could more explicitly state that the structure is a directory tree, but it is specific enough for an AI agent to understand the tool's core function.

  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 provides a usage hint ('without generating a full risk report') that contrasts with the sibling tool get_review_report, but it lacks explicit guidance on when to use this tool vs. alternative siblings like screen_repository. No when-not-to-use or prerequisite info is given.

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