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CSOAI-ORG

Pomodoro AI MCP

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Server Quality Checklist

75%
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  • Latest release: v1.0.9

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: configure_timer sets durations, start_session and stop_session manage sessions, get_stats retrieves statistics, and get_productivity_report generates a report. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow the verb_noun pattern in snake_case (configure_timer, get_productivity_report, get_stats, start_session, stop_session), providing a predictable and consistent naming convention.

    Tool Count5/5

    With 5 tools covering configuration, session management, and reporting, the count is well-scoped for a Pomodoro timer server. Each tool serves a clear and necessary function without bloat.

    Completeness4/5

    The tool surface covers the core lifecycle (configure, start, stop, view statistics/report). Minor gaps exist, such as no pause/resume or session listing, but these do not critically hinder basic workflow.

  • Average 2.7/5 across 5 of 5 tools scored. Lowest: 1.6/5.

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

    • No community issues in the last 6 months
    • 14 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.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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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

  • Behavior1/5

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

    The description claims the tool is read-only, stateless, and idempotent, which is factually incorrect for starting a session. This misrepresents the tool's actual behavior, likely copied from a different tool.

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

    Conciseness2/5

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

    The description is verbose and includes irrelevant sections (behavioral transparency, authentication, rate limits) that don't apply to starting a session. It lacks focus and contains repetitive information.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness1/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given sibling tools like 'stop_session' and 'configure_timer,' the description should explain session lifecycle, default duration, task linking, and what 'default uses configured timer' means. It fails to provide any of this context, making it incomplete.

    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?

    Parameter descriptions are generic placeholders ('The task to analyze or process') that add no value beyond the schema. With 0% schema description coverage, the description should compensate but fails to explain the purpose or constraints of each parameter.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose3/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The first sentence clearly states 'Start a new Pomodoro focus session,' which is a specific verb+resource. However, the subsequent description (read-only analysis, classification) contradicts this purpose, causing confusion.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines1/5

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

    The 'When to use' section suggests using it for structured analysis, which is inconsistent with starting a session. The 'When NOT to use' mentions real-time production decision-making, irrelevant to Pomodoro sessions. No guidance on session-specific use cases or alternatives.

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

  • Behavior1/5

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

    Description claims read-only, stateless, and no side effects, which contradicts the action implied by the tool name 'stop_session' (a state-changing operation). Annotations are absent, so description carries full burden but misleads.

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

    Conciseness2/5

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

    Description is lengthy with repetitive sections; the first sentence is concise but followed by irrelevant bulk (Behavior, When to use/not, Behavioral Transparency) that should have been tailored to the tool.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness1/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Lacks crucial details like how the session is stopped, effects on timers, or output structure despite having an output schema; entirely incomplete for a state-changing tool.

    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?

    Parameter descriptions in the 'Args' section are generic ('The completed to analyze or process') and add no meaningful context beyond the schema; with 0% schema description coverage, this fails to compensate.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose3/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    First sentence clearly states 'Stop the current Pomodoro session', but subsequent text describes a read-only analysis tool, creating confusion about the actual purpose.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines1/5

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

    When-to-use and when-not-to-use sections are about analysis/classification, irrelevant to stopping a session; no guidance relative to sibling tools.

    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?

    Describes read-only, idempotent behavior with rate limits, but contradicts the 'configure' purpose. Without annotations, the description should clarify actual effects; instead it adds confusion.

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

    Conciseness2/5

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

    Long and repetitive; the Behavioral Transparency section repeats content already stated. Not front-loaded with key 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?

    Missing explanation of how configuration is applied or what output is produced. Despite having an output schema, the description does not clarify the tool's purpose or result.

    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 coverage is 0% and the description's 'Args' section provides generic phrases like 'The work minutes to analyze or process' that add no useful context for a Pomodoro timer configuration tool.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose2/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description starts with 'Configure Pomodoro timer durations' but later claims it is read-only and produces analysis output, creating a fundamental contradiction. The purpose is unclear and misleading.

    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?

    Provides generic 'When to use' and 'When NOT to use' sections that are not specific to this tool or its siblings. No differentiation from start_session, stop_session, etc.

    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?

    Comprehensive 'Behavioral Transparency' section details side effects, authentication, rate limits, error handling, idempotency, and data privacy, despite no annotations.

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

    Conciseness2/5

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

    Overly verbose with redundant sections (e.g., 'Behavior' duplicates 'Behavioral Transparency'). 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?

    Covers behavioral aspects thoroughly but neglects parameter descriptions and differentiation from sibling 'get_productivity_report'. Output schema exists but not referenced.

    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?

    With 0% schema description coverage, description fails to add meaning beyond parameter names. Args descriptions are generic and unhelpful ('The days to analyze or process').

    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 verb 'Get', resource 'Pomodoro productivity statistics', and scope 'last N days'. Distinct from siblings like start_session and configure_timer.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

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

    Explicit 'When to use' and 'When NOT to use' sections provide clear guidance on appropriate use cases and limitations.

    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?

    With no annotations provided, the comprehensive 'Behavioral Transparency' section covers side effects (read-only), authentication, rate limits, error handling, idempotency, and data privacy in detail, far exceeding minimal requirements.

    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 well-structured but somewhat verbose, with overlapping content between 'Behavior' and 'Behavioral Transparency' sections. More concise phrasing would improve efficiency.

    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 an output schema exists, the description need not detail return values. It covers usage, behavior, and limitations adequately, though examples or typical use cases would enhance completeness.

    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 api_key parameter is described as 'The api key to analyze or process,' and transparency notes mention its role in Pro/Enterprise tiers. While clear, it could specify the expected format or service more explicitly.

    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 it generates a detailed productivity report with insights and recommendations. This distinguishes it from sibling tools (timer/session management) by focusing on analysis and reporting.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

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

    The description includes explicit 'When to use' and 'When NOT to use' sections, advising use for structured analysis/classification and cautioning against real-time decisions without human review.

    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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  • Evaluate tool definition quality.

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