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Glama

Server Quality Checklist

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  • Latest release: v1.0.0

  • Disambiguation3/5

    The tools have overlapping purposes that could cause confusion, such as 'analyze_task' and 'reflect_task' both involving analysis and pseudocode, and 'list_tasks' and 'query_task' both retrieving task information. However, descriptions help differentiate some tools, like 'execute_task' for action versus 'plan_task' for planning, reducing ambiguity.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., 'analyze_task', 'list_tasks', 'update_task'), with only minor deviations like 'init_project_rules' using 'init' instead of a more standard verb. The naming is readable and predictable overall, though not perfectly uniform.

    Tool Count5/5

    With 15 tools, the count is well-scoped for a task management and analysis system. Each tool appears to serve a distinct function in the workflow, from initialization to execution and verification, making the set comprehensive without being excessive.

    Completeness5/5

    The tool set provides complete coverage for task lifecycle management, including initialization ('init_project_rules'), planning ('plan_task'), execution ('execute_task'), monitoring ('list_tasks', 'query_task'), and completion ('complete_task', 'verify_task'). No obvious gaps exist, as it supports CRUD operations and advanced features like reflection and splitting.

  • Average 3.2/5 across 15 of 15 tools scored. Lowest: 2.6/5.

    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
    • 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.

  • 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.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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 provided, the description carries full burden for behavioral disclosure. It mentions that analysis includes checking the codebase and evaluating feasibility/risks, but doesn't describe what the tool actually does operationally - does it run code analysis, perform static checks, generate reports, or something else? It also doesn't disclose whether this is a read-only operation, what permissions might be needed, or what format the analysis results take. The pseudocode guidance is procedural rather than behavioral 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 reasonably concise at two sentences, with the first sentence stating the core purpose and the second providing important procedural guidance about pseudocode format. However, the first sentence is somewhat wordy ('Deeply analyze... systematically check... evaluate...') and could be more focused. The structure is front-loaded with the main purpose.

    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 tool with 3 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what the analysis produces, how results are returned, or what format they take. While it mentions evaluating technical feasibility and risks, it doesn't describe how this evaluation manifests operationally. The procedural pseudocode guidance is helpful but doesn't compensate for the missing behavioral and output 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?

    With 100% schema description coverage, the baseline is 3 even without parameter information in the description. The description doesn't mention any parameters or provide additional context about what 'initialConcept', 'previousAnalysis', or 'summary' should contain beyond what's already in the schema descriptions. It maintains the baseline but doesn't add value beyond the structured schema.

    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 description states the tool 'Deeply analyze task requirements and systematically check the codebase, evaluate technical feasibility and potential risks', which provides a general purpose. However, it's somewhat vague about what 'analyze' entails compared to sibling tools like 'plan_task', 'verify_task', or 'reflect_task', and doesn't clearly distinguish itself from these alternatives. The description includes procedural guidance about pseudocode, but this doesn't clarify the core purpose.

    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 explicit guidance on when to use this tool versus alternatives like 'plan_task', 'verify_task', or 'reflect_task'. It mentions 'If code is needed, use pseudocode format', but this is a procedural constraint rather than usage context. There's no indication of prerequisites, when this analysis should occur in a workflow, or what makes it different from other analysis-related 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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'ensuring the output of each step meets quality standards', hinting at validation or monitoring behavior, but lacks critical details like whether this is a read-only or mutating operation, potential side effects, error handling, or performance characteristics. This is inadequate for a tool that likely performs significant actions.

    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 ('Execute a specific task'). It avoids unnecessary words, but the second clause about 'quality standards' could be more tightly integrated to improve flow. Overall, it's concise with minimal waste.

    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 complexity implied by 'execute' and ensuring 'quality standards', along with no annotations and no output schema, the description is incomplete. It fails to explain what 'execute' does operationally, what outputs or side effects to expect, or how it differs from sibling tools, leaving significant gaps for an agent to understand and use the tool effectively.

    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, fully documenting the 'taskId' parameter. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline score of 3. It doesn't compensate for any gaps, but none exist given the high schema coverage.

    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 description states the tool 'Execute[s] a specific task according to the predefined plan', which provides a verb ('Execute') and resource ('task'), but it's vague about what 'execute' entails compared to siblings like 'complete_task' or 'process_thought'. It doesn't clearly distinguish this tool from similar-sounding alternatives, leaving ambiguity about its specific role.

    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 offers no guidance on when to use this tool versus alternatives like 'complete_task', 'process_thought', or 'verify_task'. It mentions 'predefined plan' and 'quality standards', but these are implied contexts rather than explicit usage rules, leaving the agent without clear 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.

  • Behavior2/5

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

    With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions 'verifying completion' and 'ensuring requirements are met', which suggests a read-only validation function, but doesn't disclose whether this changes task state, requires specific permissions, has side effects, or what the verification output entails. For a tool with zero annotation coverage, this is inadequate.

    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, relatively concise sentence that front-loads the main purpose. However, it could be more structured by separating verification scope from standards checking, and it includes some redundant phrasing ('without missing details' overlaps with 'comprehensively').

    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 complexity of verification in a task management context, no annotations, and no output schema, the description is insufficient. It doesn't explain what 'verification' entails operationally, what criteria are used, how results are returned, or how it differs from related tools. This leaves significant gaps for an AI agent to understand the tool's full context.

    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 description adds no parameter-specific information beyond what the schema provides (100% coverage with a well-described 'taskId' parameter). Since there's only one parameter and schema coverage is complete, the baseline is high. The description doesn't compensate but doesn't need to, earning a 4 for not introducing confusion.

    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 description states the tool 'comprehensively verify task completion' which indicates a verification function, but it's vague about what 'comprehensively' entails and doesn't clearly differentiate from siblings like 'complete_task' or 'get_task_detail'. It mentions 'ensuring all requirements and technical standards are met' which adds some specificity, but remains somewhat abstract.

    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 like 'complete_task' (which might mark a task as done) or 'get_task_detail' (which might retrieve task information). The description implies usage after task completion but doesn't specify prerequisites, timing, or exclusions relative to other 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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions generating a report and updating dependencies, but doesn't specify what 'formally mark' entails (e.g., irreversible state change, audit trail), whether it requires specific permissions, or what happens to related tasks. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

    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 lists the three main actions. It's front-loaded with the primary purpose and avoids unnecessary words, though it could be slightly more concise by integrating the actions more smoothly.

    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 complexity of a task completion tool with mutation behavior, no annotations, and no output schema, the description is insufficient. It doesn't explain the return value (e.g., the generated report or updated task status), error conditions, or side effects on the system, leaving the agent with incomplete context 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?

    The schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain the format of the 'detailed completion report' or how dependency updates work). This meets the baseline 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 specific verbs ('mark as completed', 'generate a detailed completion report', 'update the dependency status') and identifies the resource ('task'). However, it doesn't explicitly differentiate from sibling tools like 'update_task' or 'verify_task', which might have overlapping functionality.

    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 'update_task' or 'verify_task'. It mentions updating dependency status, but doesn't clarify if this is the only tool for task completion or if there are prerequisites beyond the input schema's 'in progress' status.

    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 full burden. It states this is a read operation ('Get'), implying it's non-destructive, but doesn't disclose behavioral traits like whether it requires authentication, has rate limits, returns errors for invalid IDs, or provides pagination for large details. The mention of 'unabridged implementation guides and verification criteria' hints at rich output but lacks specifics on format or limitations.

    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 purpose ('Get the complete detailed information of a task based on its ID') and adds specifics about included content. There's no wasted text, though it could be slightly more structured by separating usage context from details.

    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 one parameter with full schema coverage and no output schema, the description is moderately complete: it clarifies the tool's purpose and output scope. However, for a read operation with no annotations, it should ideally mention safety (non-destructive), error handling, or output format to better guide the agent, leaving some gaps in contextual understanding.

    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 one parameter 'taskId' documented as 'Task ID to view details'. The description adds minimal value beyond the schema by implying the ID is used to retrieve detailed information, but doesn't specify format constraints (e.g., numeric vs. string) or examples. Baseline is 3 since the schema adequately covers the parameter.

    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 resource 'complete detailed information of a task based on its ID', specifying it includes 'unabridged implementation guides and verification criteria'. It distinguishes from siblings like list_tasks (listing) and query_task (searching) by focusing on detailed retrieval of a single task. However, it doesn't explicitly differentiate from analyze_task or verify_task which might also provide detailed information.

    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 query_task (which might search tasks), analyze_task (which might analyze task details), or verify_task (which might verify criteria). It mentions what information is included but gives no context about prerequisites, when this is the appropriate choice among similar tools, or any 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?

    With no annotations, the description carries full burden but only states what the tool does, not behavioral traits like whether it's read-only, requires permissions, returns paginated results, or handles errors. It mentions 'complete status tracking' but doesn't explain how status is tracked or displayed.

    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 ('Generate a structured task list') and lists key features. 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?

    Given no annotations and no output schema, the description is incomplete for a tool that likely returns complex data (task lists with tracking, priority, dependencies). It doesn't explain return format, data structure, or how attributes like dependencies are represented, leaving significant gaps for the agent.

    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%, so the schema fully documents the single 'status' parameter with enum values. The description adds no parameter-specific details beyond implying status tracking, which is already covered. Baseline 3 is appropriate as the schema does the heavy lifting.

    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 'Generate' and resource 'structured task list' with specific attributes (status tracking, priority, dependencies). It distinguishes from siblings like 'query_task' or 'get_task_detail' by emphasizing generation and structure, though it doesn't explicitly name alternatives.

    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 siblings like 'query_task' or 'get_task_detail' is provided. The description implies listing tasks but doesn't specify contexts or exclusions, leaving the agent to infer usage based on tool names alone.

    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 provided, the description carries full burden for behavioral disclosure. It mentions 'displaying abbreviated task information' which hints at output format, but doesn't describe pagination behavior (implied by parameters), rate limits, authentication requirements, error conditions, or what 'abbreviated' specifically means. For a search tool with no annotation coverage, this leaves significant behavioral gaps.

    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 communicates the core functionality. It's appropriately sized for a search tool, though could potentially be more front-loaded with key differentiators. No wasted words, but could benefit from slightly more structure.

    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 search tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'abbreviated information' includes, how results are ordered, error handling, or how this differs from sibling tools. The agent would need to guess about important behavioral aspects despite the good parameter documentation.

    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%, so the schema fully documents all 4 parameters. The description mentions 'keyword or ID' which aligns with the query parameter, and 'abbreviated task information' which relates to output, but adds minimal semantic value beyond what's already in the schema descriptions. Baseline 3 is appropriate when schema does the heavy lifting.

    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 as searching tasks by keyword or ID and displaying abbreviated information. It specifies the verb 'search' and resource 'tasks' with search criteria, but doesn't explicitly differentiate from sibling tools like 'list_tasks' or 'get_task_detail'.

    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 'list_tasks' (which might list all tasks without search) or 'get_task_detail' (which might retrieve full details for a specific task). There's no mention of prerequisites, limitations, or comparative use cases.

    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. While it mentions the tool 'critically reviews' and 'evaluates,' it doesn't describe what the tool actually does behaviorally - does it return suggestions, a score, or modified analysis? The pseudocode guidance is useful but doesn't explain the tool's output or operational characteristics like error handling or performance constraints.

    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 appropriately concise with two sentences that each serve a clear purpose. The first sentence states the tool's core function, and the second provides important implementation guidance about pseudocode usage. There's no unnecessary repetition or verbose language.

    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 that there are no annotations and no output schema, the description is incomplete for a tool with 2 required parameters. It doesn't explain what the tool returns (suggestions, validation results, etc.), nor does it provide behavioral context about how the review process works. The pseudocode guidance is helpful but doesn't compensate for the missing output and behavioral information.

    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%, so the schema already documents both parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it mentions 'analysis results' and 'solution completeness' which align with the schema's 'analysis' and 'summary' parameters but provide no additional context about how these parameters should be structured or used.

    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: 'Critically review analysis results, evaluate solution completeness and identify optimization opportunities, ensuring the solution aligns with best practices.' It specifies the verb 'review' and the resource 'analysis results' with additional objectives. However, it doesn't explicitly differentiate from sibling tools like 'analyze_task' or 'verify_task', which may have overlapping review functions.

    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 some implied usage context by specifying 'If code is needed, use pseudocode format...', which suggests this tool is for post-analysis review rather than initial analysis. However, it lacks explicit guidance on when to use this tool versus alternatives like 'verify_task' or 'analyze_task', and doesn't mention prerequisites or exclusions.

    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?

    With no annotations provided, the description carries the full burden. It mentions 'reset the task list' and implies deletion, but doesn't specify behavioral details like whether this requires admin permissions, affects other data, or has rate limits. The input schema's parameter description adds that it's 'irreversible', which helps, but more context on effects is needed.

    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 extremely concise with just one sentence that directly states the tool's action and resource. It's front-loaded and wastes no words, making it easy to parse quickly.

    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 complexity of a destructive operation with no annotations and no output schema, the description is insufficient. It doesn't explain what 'reset' entails, what happens to finished tasks, or what the return value might be, leaving gaps in understanding the tool's full impact.

    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%, so the input schema already documents the 'confirm' parameter as requiring confirmation for irreversible deletion. The description doesn't add any additional meaning beyond what the schema provides, such as explaining why confirmation is needed or default behaviors, meeting the baseline for high 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 action ('clear' and 'reset') and resource ('unfinished tasks' and 'task list'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'delete_task' or 'complete_task', which might handle individual tasks rather than bulk operations.

    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 like 'delete_task' for individual deletions or 'complete_task' for finishing tasks. The description lacks context about prerequisites, such as whether this should be used for cleanup or resetting state, leaving usage unclear.

    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. It mentions 'initialize' and 'change or update,' implying mutation, but doesn't disclose behavioral traits such as what 'project rules' entail, whether this is a destructive operation, what permissions are needed, or what the expected outcome is. This leaves significant gaps for a tool that likely modifies project state.

    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 two sentences that directly state the purpose and usage guidelines without unnecessary details. It's front-loaded and efficient, though slightly repetitive with 'project specification' mentioned twice, which prevents a perfect score.

    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 no annotations, no output schema, and a tool that likely involves mutation (based on 'initialize' and 'update'), the description is incomplete. It doesn't explain what 'project rules' are, how they relate to sibling tools like 'tasks,' or what the tool returns. This leaves the agent with insufficient information to use it effectively in context.

    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 doesn't add parameter info, which is appropriate here, but it could have clarified if any implicit inputs (like project context) are required. Since there are no parameters, a baseline of 4 is justified, though not a 5 due to potential missing context.

    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 description states the tool 'Initialize project rules' and mentions generating/initializing/changing/updating project specification files, which gives a general purpose. However, it doesn't specify what 'project rules' are or how they differ from related concepts like 'tasks' handled by sibling tools, making it somewhat vague rather than specific.

    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 explicitly states 'Call this tool when the user requests to generate or initialize the project specification file, or if the user requests to change or update the project specification.' This provides clear context for when to use it, though it doesn't mention when NOT to use it or directly compare to alternatives among the 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?

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Initialize and detail' and 'establish clear goals', which implies a creation/mutation operation, but doesn't specify if this creates a persistent task record, requires permissions, or has side effects. For a tool with no annotation coverage, this is a significant gap in transparency about its behavior and potential impacts.

    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 appropriately sized with two concise sentences that front-load key actions ('Initialize and detail', 'establish clear goals'). Every phrase earns its place by contributing to understanding the tool's purpose, though it could be slightly more structured (e.g., separating core and optional functions). No wasted words or redundancy.

    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 complexity (a planning tool with 3 parameters, no output schema, and no annotations), the description is minimally adequate. It covers the high-level purpose but lacks details on behavioral traits, output expectations, or integration with sibling tools. Without annotations or output schema, more context on what the tool returns or how it fits into the task workflow would improve completeness.

    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%, so the schema already documents all three parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., it doesn't explain how 'existingTasksReference' interacts with planning or provide examples). With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but doesn't detract either.

    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 specific verbs ('Initialize and detail', 'establish clear goals and success criteria') and identifies the resource ('task flow'). It distinguishes from siblings like 'execute_task' or 'complete_task' by focusing on planning rather than execution or completion. However, it doesn't explicitly differentiate from 'analyze_task' or 'split_tasks' which might also involve task analysis or decomposition.

    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 initializing and detailing tasks with optional reference to existing tasks, which suggests it's for planning phases. However, it doesn't explicitly state when to use this versus alternatives like 'init_project_rules' for broader project setup or 'split_tasks' for breaking down tasks. No exclusions or clear alternatives are provided, leaving some ambiguity.

    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 provided, the description carries the full burden of behavioral disclosure. It mentions that 'Completed tasks only allow updating summary and related files,' which adds useful context about limitations. However, it doesn't disclose other critical behaviors such as whether updates are reversible, what permissions are required, error handling, or response format. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its operational traits.

    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 appropriately sized with two sentences that are front-loaded: the first sentence covers the main purpose and key fields, and the second adds an important behavioral constraint. There's no wasted text, and each sentence earns its place by providing essential information. However, it could be slightly more structured by explicitly separating general updates from the completed-task exception.

    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 complexity of 8 parameters, no annotations, and no output schema, the description is moderately complete. It covers the purpose and some behavioral constraints but lacks details on permissions, error handling, and return values. For a mutation tool with rich parameters, it should do more to compensate for the absence of annotations and output schema, such as explaining what happens on success or failure.

    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 description lists the updatable fields (name, description, notes, dependencies, related files, implementation guide, verification criteria), which aligns with the input schema parameters. Since schema description coverage is 100%, the schema already documents all parameters well. The description adds minimal value beyond the schema by implying the scope of updates but doesn't provide additional syntax, format details, or constraints beyond what's in the schema descriptions.

    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 ('Update task content') and specifies the resource ('task'), listing key updatable fields like name, description, notes, dependencies, files, implementation guide, and verification criteria. It distinguishes from siblings like 'complete_task' or 'delete_task' by focusing on content modification rather than state changes or removal. However, it doesn't explicitly differentiate from 'analyze_task' or 'query_task' in terms of when to use each.

    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 some implied guidance by stating 'Completed tasks only allow updating summary and related files,' which helps differentiate usage based on task status. However, it doesn't explicitly mention when to use this tool versus alternatives like 'complete_task' for marking completion or 'get_task_detail' for viewing details. No clear exclusions or prerequisites beyond the taskId requirement are stated.

    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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It adds some context by describing the thinking process as 'flexible and evolving' and advising on data gathering priorities, but it doesn't cover key behavioral traits like whether this tool is read-only or destructive, its permission requirements, rate limits, or what the output looks like. The description doesn't contradict annotations (none exist), but it's incomplete for a tool with 8 parameters and 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.

    Conciseness4/5

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

    The description is appropriately sized with two sentences that are front-loaded with the core purpose. Every sentence earns its place by adding guidance on data gathering and parameter usage. However, it could be slightly more structured by separating purpose from instructions more clearly, and there's minor redundancy in describing the thinking process.

    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 complexity of 8 parameters, no annotations, and no output schema, the description is somewhat complete but has gaps. It covers the purpose and some usage guidelines but lacks details on behavioral traits, full parameter context, and expected outputs. For a tool with this level of complexity and no structured support, it should do more to compensate, making it adequate but not fully comprehensive.

    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%, so the schema already documents all 8 parameters thoroughly. The description adds minimal value beyond the schema: it mentions 'Set nextThoughtNeeded to false when thinking is sufficient, otherwise adjust total_thoughts to extend the process,' which provides usage hints for two parameters but doesn't explain the semantics of others like 'assumptions_challenged' or 'stage.' Baseline 3 is appropriate as the schema does the heavy lifting.

    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 description states the tool enables 'a flexible and evolving thinking process' with verbs like 'creating, questioning, validating, and refining ideas,' which gives a general purpose. However, it's somewhat vague about what specific resource or domain this applies to, and it doesn't clearly distinguish from sibling tools like 'analyze_task' or 'reflect_task,' which might overlap in cognitive functions. The description avoids tautology by not just restating the name, but lacks specificity.

    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 on when to use this tool: it specifies to 'prioritize reviewing relevant project code' for data gathering and 'search the web rather than speculating' if code doesn't exist, which offers practical guidance. However, it doesn't explicitly state when not to use this tool or name alternatives among the sibling tools (e.g., vs. 'analyze_task'), so it falls short of a perfect score.

    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 provided, the description carries full burden and does well by disclosing key behavioral traits: it explains the four update modes with their effects (e.g., 'overwrite' deletes unfinished tasks), mentions batch submission limits (5000 characters), and provides implementation guidelines like consolidating tasks. However, it doesn't cover error handling or performance characteristics.

    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 well-structured with clear sections (updateMode, Key Requirements) and front-loaded purpose. However, some sentences could be more concise (e.g., the updateMode descriptions are somewhat verbose), and the pseudocode requirement is repeated. Overall efficient but with minor redundancy.

    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?

    For a complex tool with 3 parameters, no annotations, and no output schema, the description provides good context: it covers usage scenarios, behavioral details, and constraints. However, it lacks information on return values or error cases, which would be helpful given the absence of output schema. It's mostly complete but has minor gaps.

    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%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema: it briefly mentions updateMode options but doesn't provide additional context about tasks or globalAnalysisResult parameters. Baseline 3 is appropriate when the schema does the heavy lifting.

    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's purpose with specific verbs ('decompose complex tasks') and resources ('into independent subtasks'), and distinguishes it from siblings by focusing on task decomposition rather than analysis, execution, or querying. It goes beyond the tool name to explain the 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 Guidelines5/5

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

    The description provides explicit guidance on when to use this tool vs alternatives: it specifies 'Submit in batches' if tasks exceed character limits, and the updateMode section details when to use each mode (e.g., 'clearAllTasks' is preferred, other modes for user-requested changes). This gives clear context for tool selection.

    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 provided, the description carries the full burden of behavioral disclosure. It effectively communicates that this is a destructive operation (delete), specifies constraints (only unfinished tasks), and mentions a system integrity consideration. However, it doesn't address potential side effects, error conditions, or what happens to related data.

    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 clear, focused sentences that each earn their place. The first sentence states the core functionality with constraints, and the second sentence explains the rationale, with no wasted words or redundant 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?

    For a destructive operation with no annotations and no output schema, the description does well by specifying constraints and rationale. However, it doesn't mention what happens after deletion (confirmation? error messages?) or potential dependencies, leaving some gaps in completeness for a mutation 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?

    The schema has 100% description coverage, so the baseline is 3. The description adds value by reinforcing the parameter constraint ('must be an existing unfinished task ID'), which provides additional context beyond the schema's technical description of the taskId parameter as a UUID.

    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 ('Delete') and resource ('unfinished tasks'), distinguishing it from siblings like 'complete_task' or 'update_task' by specifying it only works on unfinished tasks. It provides a precise verb+resource combination with explicit scope limitations.

    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 explicitly states when to use this tool ('Delete unfinished tasks') and when not to use it ('does not allow deleting completed tasks'), providing clear exclusion criteria. It distinguishes this from potential alternatives like 'clear_all_tasks' by specifying it works on individual tasks only.

    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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