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gabeosx

freedcamp

by gabeosx

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose targeting different CRUD operations: add_task for creation, delete_task for deletion, list_tasks for retrieval, and update_task for modification. There is no overlap or ambiguity between these functions.

    Naming Consistency5/5

    All tools follow a consistent 'freedcamp_verb_task' pattern with snake_case, using clear action verbs (add, delete, list, update). This predictable naming makes it easy to understand each tool's function at a glance.

    Tool Count5/5

    Four tools is perfectly appropriate for a task management server, covering the essential CRUD operations without being overwhelming. Each tool earns its place with distinct functionality, and the count aligns well with the server's focused scope.

    Completeness5/5

    The tool set provides complete CRUD coverage for tasks in Freedcamp, including bulk operations for efficiency. There are no obvious gaps—agents can create, read, update, and delete tasks, covering the full lifecycle without dead ends.

  • Average 3.8/5 across 4 of 4 tools scored. Lowest: 3.1/5.

    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 is passing
  • 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?

    Annotations only provide a title ('Update Task'), so the description carries the full burden. It mentions bulk operations but lacks details on permissions, rate limits, error handling, or what happens to unspecified fields (e.g., whether they remain unchanged). This is inadequate for a mutation tool with no annotation coverage.

    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, efficient sentence that front-loads the core action and includes essential details like bulk support. It avoids redundancy but could be slightly more structured for clarity.

    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?

    For a mutation tool with no annotations, 0% schema description coverage, and no output schema, the description is incomplete. It lacks behavioral context (e.g., side effects, auth needs), detailed parameter guidance, and output information, making it insufficient for safe and effective use.

    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%, but the description lists key updatable fields (title, description, priority, due date, assignee, status), which adds meaning beyond the bare schema. However, it doesn't explain the 'tasks' array structure or parameter constraints, leaving gaps in documentation.

    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 verb ('Update') and resource ('existing tasks in Freedcamp'), and lists specific fields that can be updated. It distinguishes itself from siblings by focusing on updates rather than adding, deleting, or listing tasks. However, it doesn't explicitly contrast with siblings beyond the core action.

    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 for updating tasks, including bulk operations, but doesn't provide explicit guidance on when to use this tool versus alternatives like 'freedcamp_add_task' for new tasks or 'freedcamp_delete_task' for removal. No exclusions or prerequisites are mentioned.

    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?

    Annotations only provide a title ('List Tasks'), so the description carries the burden of behavioral disclosure. It adds value by specifying the return format (task details like ID, title, status, etc.) and implying a read-only operation, but doesn't cover aspects like error handling, pagination, or rate limits. No contradiction with annotations exists.

    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, well-structured sentence that efficiently conveys the action, scope, and return details without redundancy. It's front-loaded with the core purpose, but could be slightly more concise by integrating the return information more seamlessly.

    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 simplicity (0 parameters, no output schema, minimal annotations), the description is adequate but has gaps. It explains what the tool does and what it returns, but lacks usage guidelines, error handling, or behavioral nuances. For a list tool with no complex inputs, this is minimally viable but not comprehensive.

    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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately omits parameter details, focusing on the tool's function and output. This meets the baseline for zero parameters, but doesn't exceed expectations with extra context.

    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 verb ('Retrieve') and resource ('all tasks in the configured Freedcamp project'), making the purpose evident. It distinguishes from siblings by focusing on listing rather than adding, deleting, or updating tasks. However, it doesn't explicitly contrast with sibling tools, preventing a perfect score.

    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?

    The description provides no guidance on when to use this tool versus alternatives like 'freedcamp_add_task' or 'freedcamp_update_task'. It lacks context about prerequisites (e.g., needing a configured project) or exclusions, leaving usage decisions to inference from the tool name alone.

    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?

    Annotations only provide a title ('Create Task'), so the description carries the burden. It discloses that the tool creates tasks and supports bulk operations, which is useful context beyond annotations. However, it lacks details on permissions, rate limits, or what happens on failure, which are important for a creation tool with no output schema.

    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 two sentences, front-loaded with the main purpose and followed by key features. Every sentence adds value: the first defines the action and scope, the second highlights bulk capability and supported fields, with no wasted words.

    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 no output schema and annotations only providing a title, the description is somewhat complete for a creation tool but lacks details on return values, error handling, or prerequisites. It covers the basics but could be more informative for a tool with 1 parameter (an array of objects) and no structured output documentation.

    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 0%, so the description must compensate. It lists supported fields (title, description, priority, due date, assignee) and mentions bulk operations, adding meaning beyond the schema's structure. However, it does not explain the 'tasks' array parameter's semantics or constraints in detail.

    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 'Create one or more new tasks in Freedcamp' with specific verb (create) and resource (tasks), and distinguishes from siblings by focusing on creation rather than deletion, listing, or updating mentioned in sibling tool names.

    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 implies usage for creating tasks and mentions 'bulk operations for creating multiple tasks at once,' which provides context for when to use it (multiple tasks). However, it does not explicitly state when not to use it or name alternatives like the sibling tools for other operations.

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

  • Behavior5/5

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

    The description adds significant behavioral context beyond what annotations provide. Annotations only give a title ('Delete Task'), while the description explicitly warns that the action 'cannot be undone', clarifies it's permanent, and mentions support for bulk operations - all critical behavioral traits for a destructive 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 perfectly concise with two sentences that each earn their place: the first states the core action with critical warning, the second adds important bulk operation capability. No wasted words, front-loaded with the most critical information.

    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 this is a destructive mutation tool with no output schema and minimal annotations, the description does well by warning about irreversibility and mentioning bulk operations. However, it could be more complete by specifying what happens to dependent objects or confirming deletion success criteria.

    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?

    With 0% schema description coverage (the schema has no parameter descriptions), the description carries the full burden. It adds meaningful context by explaining that the tool supports bulk operations for deleting multiple tasks at once, which helps interpret the 'tasks' array parameter structure, though it doesn't detail individual parameter semantics like 'task_id' format.

    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 specific action ('permanently delete') and resource ('tasks from Freedcamp'), distinguishing it from sibling tools like 'add_task', 'list_tasks', and 'update_task' which perform different operations on the same resource.

    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 for when to use this tool ('permanently delete one or more tasks') and mentions bulk operations, but does not explicitly state when NOT to use it or name specific alternatives like 'update_task' for modifications instead of deletions.

    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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