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frifster
by frifster

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.3.0

  • Disambiguation4/5

    Tools have distinct purposes: CSV export for today vs week, a detailed daily report, and a project summary. Minor overlap between export_today_csv and get_daily_report, but descriptions clarify different output formats.

    Naming Consistency3/5

    Two tools use 'export' and two use 'get', which is inconsistent. Additionally, one tool includes the format in its name while others do not. However, the names are still readable and follow a verb_noun pattern.

    Tool Count4/5

    With 4 tools, the server covers essential reporting needs for time tracking: exporting, daily report, and summary. The count feels appropriate for its scope, though it could be slightly expanded.

    Completeness3/5

    The tools cover common retrieval tasks but lack CRUD operations like creating or updating time entries. For a reporting-focused server, this is acceptable, but missing list or search tools for projects or users create gaps.

  • Average 3.5/5 across 4 of 4 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
    • 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?

    With no annotations, the description carries full burden. It only says 'Get', implying a read operation, but fails to disclose any behavioral traits like required permissions, rate limits, or error handling for invalid dates.

    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 one concise sentence that efficiently conveys the core action. However, it lacks any structured breakdown or front-loading of key information beyond the minimal.

    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 simple tool with one parameter and no output schema, the description is adequate but incomplete. It does not mention return format, error conditions, or report contents, which would be helpful.

    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 parameter 'date' already documented. The tool description adds no extra meaning beyond what the schema provides, so baseline 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?

    The description clearly states the tool retrieves a time tracking report for a specific date from Time Doctor, which is a specific verb+resource. It distinguishes from sibling tools like export_today_csv or get_hours_summary by focusing on a single date report.

    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 (e.g., export_today_csv or get_hours_summary). The description lacks any context about eligible scenarios or exclusions.

    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 are provided, so the description must fully convey behavioral traits. It only mentions a 'quick breakdown' but does not state whether the operation is read-only, requires authentication, or any other behavioral details (e.g., what happens if date is invalid, rate limits). The description lacks transparency.

    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 that is front-loaded with the core purpose. It is concise and to the point, but could be slightly expanded to include usage guidance without becoming verbose. Still, it is effective 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?

    Given the tool's simplicity (single parameter, no output schema), the description covers the basic purpose. However, it does not mention the output format or any aggregation details, and lacks context on when to prefer this over sibling tools. Adequate but incomplete.

    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% and the input schema already describes the date parameter format and the 'today' option. The description adds no additional meaning beyond 'specific date', so it provides no extra value over the schema. Baseline 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?

    The description states 'Get a quick breakdown of hours by project for a specific date', which clearly specifies the verb (Get), resource (breakdown of hours by project), and scope (for a specific date). This distinguishes it from sibling tools like export_today_csv or get_daily_report, which serve different purposes.

    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 does not provide any guidance on when to use this tool versus alternatives (e.g., get_daily_report, export_today_csv). No when-to-use, when-not-to-use, or prerequisite information is given.

    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 bears full burden. It reveals output format (CSV as text) but omits behavioral details like whether it's read-only, scope (user-specific?), or any limitations. Minimal transparency.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is short but contains redundancy: 'Get today's time tracking data in CSV format. Returns CSV data as text.' The second sentence is unnecessary. Could be more concise.

    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 parameters and no output schema, the description covers the basic purpose and output format. However, it lacks details on authentication, data scope, or any constraints, which are reasonable to expect for an export tool.

    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?

    No parameters exist, so the baseline is 4. The description adds no parameter information, but none is needed.

    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 'Get', the resource 'today's time tracking data', and the format 'CSV'. It inherently distinguishes from sibling tools like export_weekly_csv by specifying 'today'.

    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 (e.g., export_weekly_csv, get_daily_report). The description only states what it does, with no exclusions or context.

    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, description discloses parallel scraping behavior, min_hours filtering, and output formats. Does not mention potential rate limits or data freshness, but adequately covers key behaviors.

    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?

    Three focused sentences, each providing essential information without redundancy. Front-loaded with main purpose, then usage constraints and options.

    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?

    Covers date range, format, parallel scraping, and min_hours filter. Lacks details on return format structure and error handling, but sufficient for basic use.

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

    Parameters5/5

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

    All parameters have schema descriptions (100% coverage). The description adds value by explaining the 7-day limit tied to end_date, parallel parameter speed implications, and min_hours filter purpose.

    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?

    Clearly states it retrieves time tracking data for a date range in CSV/JSON. Implicitly distinguishes from siblings like 'export_today_csv' by specifying a date range, but could 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 Guidelines4/5

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

    Explicitly says maximum 7 days per request and advises splitting longer periods. Also mentions parallel scraping for faster retrieval. Lacks explicit when-not-to-use or alternative tools.

    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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