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samber

Go Playground MCP Server

by samber

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation3/5

    The tools have overlapping purposes that could cause confusion, especially between run_go_code and run_and_share_go_code, where the latter seems to combine the former with share_go_code. However, the descriptions clarify the distinctions, such as execute_go_playground_url focusing on existing URLs versus run_go_code for direct code execution.

    Naming Consistency4/5

    The naming follows a consistent verb_noun pattern with underscores, such as execute_go_playground_url and run_go_code. There is a minor deviation with run_and_share_go_code, which uses 'and' in the name, but overall the pattern is clear and predictable.

    Tool Count4/5

    With 5 tools, the count is reasonable for a Go Playground server, covering execution, reading, and sharing functionalities. It is slightly over-scoped as some tools could be merged (e.g., run_go_code and run_and_share_go_code), but it remains well within an appropriate range.

    Completeness4/5

    The toolset covers core operations for a Go Playground domain: executing code from URLs, reading code, running code directly, and sharing results. A minor gap exists in update or delete operations for shared URLs, but agents can work around this, and the surface supports typical workflows effectively.

  • Average 3.1/5 across 5 of 5 tools scored.

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

    • 0 of 1 community issues answered or closed in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is failing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    With no annotations, the description should disclose behavioral traits. It only says 'execute' but does not explain side effects, network requirements, or whether the execution is remote and has latency. The agent is left guessing about key behaviors.

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

    Conciseness4/5

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

    The description is a single, clear sentence with no unnecessary words. It is appropriately sized for the simple function, though a bit more detail could improve it.

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

    Completeness2/5

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

    Given the lack of output schema and annotations, the description should complete the picture. It fails to indicate the return value (e.g., whether it returns output, errors, or status). This is a significant gap for a tool that executes code.

    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 covers both parameters fully (100%), so baseline is 3. The description adds no extra context about the parameters beyond what the schema provides.

    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 (execute Go code) and the resource (existing Go Playground URL). It distinguishes from siblings like 'read' or 'share' by specifying execution from a URL. However, it does not mention what the tool returns, leaving some ambiguity.

    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. It does not specify prerequisites, limitations, or situations where another sibling tool (e.g., run_go_code without a URL) is more appropriate.

    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, and the description does not disclose any behavioral traits beyond basic execution and sharing. Important details like side effects, security considerations, or network dependency are omitted.

    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?

    Single sentence that immediately conveys the dual purpose (run and share). Concise but not overly terse; the sentence earns its place.

    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 that executes arbitrary Go code and generates a shareable URL, the description lacks critical context such as execution environment, output format, URL nature, security warnings, and behavior of the withVet parameter. No output schema is provided.

    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?

    Input schema covers 100% of parameters, so baseline is 3. The description adds no extra meaning beyond what the schema already provides for 'code' and 'withVet'.

    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 runs Go code and provides both execution results and a shareable URL, which distinguishes it from siblings like run_go_code (only runs) and share_go_code (only shares).

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool versus alternatives such as run_go_code or share_go_code. The description does not mention exclusions or context for using the combined functionality.

    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 should disclose behaviors like sandbox limitations, error handling, or side effects, but only states 'return execution results'—failing to mention that the code runs in a restricted environment or what happens on failure.

    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, front-loaded sentence with no redundancy. However, it could incorporate brief parameter or behavior details without sacrificing conciseness.

    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?

    Despite low complexity and no output schema, the description fails to specify output format (e.g., stdout, stderr) or mention sibling differentiation, leaving the agent with incomplete information for safe invocation.

    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 the description adds no extra meaning beyond the parameter names and defaults. It aligns with the code parameter but offers no additional context like the effect of 'withVet'.

    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 Go code in the Go Playground' with a specific verb and resource, and distinguishes this tool from siblings like 'execute_go_playground_url' and 'run_and_share_go_code' by focusing on execution alone.

    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 from the sibling list (e.g., 'run_and_share_go_code' or 'execute_go_playground_url'), leaving the agent to infer usage without comparison.

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

  • Behavior2/5

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

    No annotations are provided, so the description must disclose behavioral traits. It states it shares code and returns a URL, but omits details such as whether the code is executed, if there are side effects, authentication needs, or rate limits. This is insufficient for a mutation-like operation.

    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 extremely concise at one sentence, but it is too minimal to be considered well-structured. It lacks necessary context, making it less helpful despite its brevity.

    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?

    No output schema or further details are provided. The description mentions a 'shareable URL' but does not specify its format or content. Given the presence of sibling tools with overlapping functionality, more context is needed for complete 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?

    The input schema already covers the single parameter 'code' with a description. The tool description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

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

    Purpose5/5

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

    The description clearly states the tool shares Go code and returns a shareable URL. It is specific about the verb ('Share') and resource ('Go code'), and it naturally distinguishes from siblings like run_go_code (executes without sharing) and run_and_share_go_code (does both).

    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 usage guidelines are provided. The description does not indicate when to use this tool versus siblings like run_and_share_go_code or execute_go_playground_url, nor does it specify prerequisites or alternatives.

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

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool reads code, implying a non-destructive operation, but fails to mention network calls, authentication requirements, rate limits, or error handling. This is insufficient for a tool that makes external requests.

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

    Conciseness5/5

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

    The description is a single, clear sentence with no redundant information. Every word contributes to the purpose, making it concise and well-structured.

    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?

    For a simple tool with one parameter and no output schema, the description minimally covers the operation. However, it does not specify what the output is (e.g., returns the Go code as a string) or mention error scenarios, leaving some gaps in 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% for the single parameter 'url', which includes examples. The description adds no extra meaning beyond what the schema already provides, qualifying for the baseline score of 3.

    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 reads Go code from a URL, distinguishing it from siblings like execute_go_playground_url (which executes code) and share_go_code (which shares code). The verb 'Read' and resource 'Go code from an existing Go Playground URL' are specific and unambiguous.

    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 when you have a URL and want to retrieve code, but it does not explicitly state when to use this tool versus siblings. No comparisons or exclusions are provided, so guidance is only implied by the tool name and context.

    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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