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tinytelly

Time MCP Server

by tinytelly
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Server Quality Checklist

58%
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  • Latest release: v1.0.0

  • Disambiguation2/5

    The two tools have overlapping purposes: both retrieve time-related information, with 'get_current_time' focusing on basic date/time and 'get_time_info' adding details like timezone and day of week. This creates ambiguity as an agent might struggle to choose between them for general time queries, since their boundaries are unclear and they could be confused for similar tasks.

    Naming Consistency5/5

    The tool names follow a consistent verb_noun pattern with 'get_' prefix and snake_case formatting throughout. Both tools start with 'get_' followed by descriptive nouns ('current_time', 'time_info'), making the naming predictable and readable without any deviations or mixed conventions.

    Tool Count2/5

    With only 2 tools, the server feels too thin for a time-related domain, as it lacks basic operations like time conversion, timezone handling, or scheduling functions. This minimal set limits functionality and suggests an incomplete scope, making it borderline inadequate for typical time management tasks.

    Completeness2/5

    The tool surface is significantly incomplete for a time server domain. It only provides retrieval functions without essential operations such as time conversion between zones, date arithmetic, scheduling, or alarm setting. These gaps will likely cause agent failures when trying to perform common time-related workflows beyond simple queries.

  • Average 3/5 across 2 of 2 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
    • No stable releases found
    • 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 carries the full burden. It mentions what information is returned but does not disclose behavioral traits such as whether it's a read-only operation, error handling, or performance characteristics. The description is minimal and lacks critical context for a 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.

    Conciseness5/5

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

    The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, with every part contributing to 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?

    Given the lack of annotations and output schema, the description is incomplete. It does not explain what 'detailed time information' includes beyond examples, nor does it cover return values or potential errors. For a tool with no structured support, more context is needed to be fully 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?

    The schema description coverage is 100%, with the single parameter 'timezone' well-documented in the schema. The description does not add any parameter-specific details beyond what the schema provides, so it meets the baseline for high schema coverage without compensating with extra semantics.

    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 'Get' and the resource 'detailed time information', specifying what information is included (timezone, day of week, etc.). It distinguishes itself from the sibling 'get_current_time' by implying more comprehensive data, though not explicitly contrasting them.

    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 the sibling 'get_current_time', nor does it mention any prerequisites or exclusions. Usage is implied by the name and description but not explicitly stated.

    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 carries the full burden of behavioral disclosure. It states the tool gets the current date and time, implying a read-only operation, but doesn't mention any behavioral traits like performance, caching, rate limits, or error handling. For a tool with no annotations, this leaves significant gaps in understanding how it behaves.

    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, efficient sentence that directly states the tool's purpose without any unnecessary words. It's front-loaded and appropriately sized, making it easy to parse and understand quickly.

    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 (2 optional parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on usage guidelines, behavioral traits, and output format, which could help the agent use it more effectively in context.

    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, with clear documentation for both parameters (timezone and format), including defaults and enum values. The description adds no additional parameter information beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage.

    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 with a specific verb ('Get') and resource ('current date and time'), making it easy to understand what the tool does. However, it doesn't distinguish this tool from its sibling 'get_time_info', which might have overlapping functionality, so it doesn't reach the highest 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 its sibling 'get_time_info' or any alternatives. It lacks context about specific use cases, prerequisites, or exclusions, leaving the agent without direction on tool selection.

    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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