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HrRodan

Agent Workspace MCP Server

by HrRodan

Server Quality Checklist

58%
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  • Latest release: v1.4.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: read_file for reading, write_file for overwriting, list_directory for listing, search_workspace for locating files by pattern, run_bash for arbitrary shell commands, and search_and_replace for partial edits. No ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., read_file, write_file, list_directory). The only exception is search_and_replace, which combines two verbs, but it still aligns with the overall style.

    Tool Count5/5

    With 6 tools, the set is well-scoped for an agent workspace. It covers essential operations (file read/write, directory listing, file search, shell execution, and text editing) without unnecessary clutter.

    Completeness4/5

    The tool set covers most common operations, but lacks dedicated tools for file deletion, renaming, or appending. However, these gaps can be addressed via run_bash, so only minor incompleteness is present.

  • Average 4.3/5 across 6 of 6 tools scored.

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

    • 1 of 2 community issues answered or closed in the last 6 months
    • 54 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
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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

  • Behavior4/5

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

    Annotations already declare readOnlyHint=true, and the description adds useful behavioral context: output format ([F]/[D] prefixes) and filtered exclusions (.git, .venv, __pycache__). No contradiction.

    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?

    Two concise sentences deliver key information efficiently with minimal 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 simple read-only tool with output schema and readOnlyHint, the description sufficiently covers purpose and exclusions; however, it could mention recursion behavior or sorting order.

    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 coverage is 100%, and the description adds no additional meaning beyond what the schema provides for the 'path' parameter, meeting the baseline.

    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 'List directory contents' and adds specific details about prefix notation ([F]/[D]) and exclusions, making it distinct from sibling tools like read_file or run_bash.

    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 listing directories but provides no explicit guidance on when to choose this tool over alternatives like read_file or search_workspace.

    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?

    Annotations already indicate destructiveHint=true and openWorldHint=true. The description adds value by detailing output format (exit code, merged streams, 50KB truncation) and listing available tools, as well as Python handling via uv. This goes beyond the annotations.

    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 concise and well-structured: it opens with the core purpose, then describes output, lists tools, and covers Python specifics. Every sentence adds value without 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?

    The description covers key aspects: execution environment, output limits, available tools, and Python constraints. It does not elaborate on security or resource limits, but given the tool's complexity, it is sufficiently complete.

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

    Parameters4/5

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

    Schema coverage is 100%, so parameters are documented. The description adds context about the working directory (/workspace) and provides guidance on the timeout parameter ('Increase for long builds'), which enhances understanding beyond the schema.

    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 'Run a shell command in /workspace,' specifying the verb, resource, and location. It distinguishes from sibling tools (file operations, search) by targeting shell execution.

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

    Usage Guidelines4/5

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

    The description provides clear context for when to use (shell commands in /workspace) but does not explicitly state when not to use or offer alternatives. It implies differentiation from siblings through the nature of operations.

    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?

    Annotations already declare destructiveHint=true and idempotentHint=true. Description adds that it returns unified diff and validates syntax, providing useful behavioral context beyond annotations. No contradictions.

    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?

    Two sentences, front-loaded with primary purpose, no unnecessary words. Efficient and clear.

    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?

    With 3 parameters, output schema exists, and annotations present, the description covers purpose, alternatives, behavior, and validation. Could mention failure mode for syntax validation, but overall sufficient.

    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 schema already documents all parameters. Description adds example for edits format and clarifies filepath relative to /workspace, but adds minimal new meaning beyond schema.

    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?

    Description uses specific verb 'replaces substrings' and resource 'file editing tool', distinguishes from sibling 'prefer over patch'. Clearly states primary purpose.

    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?

    Explicitly says 'prefer over patch', providing clear alternative. Implies when to use this tool (editing with substring replacement) and when not (when patch is more appropriate).

    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?

    Adds return limit context beyond annotations' readOnlyHint. No contradiction. Could mention pagination or error handling.

    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?

    Two sentences, front-loaded, no wasted words.

    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 purpose, limit, alternative. Output schema exists. Lacks mention of error states or filesystem scope, but sufficient for a read-only search tool.

    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 coverage 100%, description doesn't add much to param definitions. 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?

    Clearly states action ('Find files'), method ('glob pattern'), and constraint ('up to 50 paths'). Distinguishes from sibling tools like 'list_directory' and 'read_file'.

    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?

    Explicitly tells when not to use ('For content search use run_bash with grep') and provides an alternative.

    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?

    Annotations declare destructiveHint=true and idempotentHint=true; the description adds that parent directories are created and syntax validation occurs for .py/.json/.toml/.yaml files, providing behavioral context beyond annotations.

    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?

    Two sentences: first states main action, second provides additional behaviors and an alternative. Highly concise and front-loaded with no wasted words.

    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 key functionality (creation, overwrite, parent dirs, validation) but does not detail error behavior on validation failure or behavior of 'create_only' parameter beyond schema description.

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

    Parameters4/5

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

    Schema coverage is 100% with descriptions for each parameter; the description adds value by implying 'content' is full file content and mentioning parent directory creation (related to 'filepath') and syntax validation (related to 'content').

    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 'Create or overwrite' and the resource 'a file', and distinguishes itself from sibling tool 'search_and_replace' for partial edits.

    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 explicit guidance to use 'search_and_replace' for partial edits, but does not comprehensively cover when to use vs. other siblings like 'read_file'.

    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?

    Annotations already declare readOnlyHint=true. Description adds specific constraints: text only, max 1MB, returns first 100 lines. No contradictions. Could mention auth but not 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?

    Two sentences, front-loaded purpose, no filler. Every word adds value.

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

    Completeness5/5

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

    Given output schema exists (not shown), description covers key constraints, usage guidance, and alternatives. Complete for a simple tool.

    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 coverage is 100%, so baseline 3. Description mentions offset/limit for segments but adds no new meaning beyond schema defaults and descriptions.

    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?

    States 'Read a text file' with clear constraints (text only, 1MB max, first 100 lines). Distinct from siblings like write_file (write) and run_bash (commands).

    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?

    Explicitly tells when to use this tool (text files) and when to use alternatives: 'Use offset/limit for segments or run_bash('grep/head/tail') for large files.'

    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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