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Server Quality Checklist

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  • Latest release: v0.2.0

  • Disambiguation5/5

    The four tools have clearly distinct purposes: 'sheets' executes operations, 'sheets_query' queries state, 'sheets_session' manages sessions, and 'sheets_help' returns documentation. There is no ambiguity or overlap.

    Naming Consistency5/5

    All auxiliary tools follow the 'sheets_<verb>' pattern, while the primary tool is simply 'sheets'. This is a consistent and predictable naming convention.

    Tool Count5/5

    With only 4 tools, the server is highly focused. The main 'sheets' tool encapsulates a vast DSL for all spreadsheet operations, making the count appropriate for its comprehensive purpose.

    Completeness5/5

    The server covers an extensive range of spreadsheet operations: cells, sheets, styles, charts, tables, conditional formatting, data validation, editing, and more. Combined with session management and querying, it is very complete.

  • Average 2.9/5 across 4 of 4 tools scored. Lowest: 1.3/5.

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

    • No community issues in the last 6 months
    • 3 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
  • 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.

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

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How is the quality score calculated?

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

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

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

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

Tool Scores

  • Behavior1/5

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

    With no annotations provided, the description must fully convey behavioral traits. It only states 'Query sheets state', omitting crucial details such as read-only nature, side effects, access requirements, or output behavior. The description is insufficient for safe invocation.

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

    Conciseness2/5

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

    The description is extremely short (three words), but this is under-specification rather than conciseness. While it is front-loaded, it lacks necessary details to be useful.

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

    Completeness1/5

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

    Given the tool has one required parameter and no output schema, the description is severely incomplete. It does not explain what 'sheets state' means, the expected query format, or what the tool returns, leaving major gaps for the agent.

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

    Parameters1/5

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

    The input schema has one parameter 'q' with zero description coverage. The tool description does not mention or explain 'q' at all, failing to add meaning beyond the schema's bare type definition.

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

    Purpose2/5

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

    The description 'Query sheets state' is largely tautological with the tool name 'sheets_query'. It adds the word 'state' but fails to specify what 'state' refers to or how it differs from sibling tools like 'sheets', 'sheets_session', and 'sheets_help'. Purpose is vague and not distinct.

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

    Usage Guidelines1/5

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

    No guidance is provided on when to use this tool versus alternatives. The description does not mention contexts, prerequisites, or exclusions, leaving the agent without criteria for tool selection.

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

  • Behavior1/5

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

    No annotations provided. The description only gives example action strings without explaining behavior, side effects, permissions, or what happens on execution. Completely opaque.

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

    Conciseness2/5

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

    The description is a single line, which is concise, but it sacrifices clarity. It lists commands without explanation, making it under-informative.

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

    Completeness1/5

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

    For a tool with one parameter and no output schema, the description fails to explain the tool's purpose, valid input format, and relationship to siblings. Incomplete.

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

    Parameters2/5

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

    The only parameter 'action' has no schema description (0% coverage). The description hints at possible values via examples, but the format is unclear (e.g., quotes, slashes). It partially compensates but remains ambiguous.

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

    Purpose2/5

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

    The description lists example actions like 'new "Title"' and 'open ./file' but does not clearly state what the tool does. It is ambiguous whether this tool executes session operations or lists commands. No verb+resource clarity.

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

    Usage Guidelines1/5

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

    No guidance on when to use this tool versus siblings (sheets, sheets_query, sheets_help). No indication of appropriate context or alternatives.

    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?

    No annotations are provided, so the description carries the full burden. It correctly describes a straightforward read-only operation with no side effects, which is sufficient for this simple help tool.

    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, concise sentence with no wasted words. Every part adds value, and it is front-loaded with the key verb and noun.

    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 no parameters, no output schema, and the simple nature of a help tool, the description is complete. It fully explains what the tool does without needing additional 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 tool has zero parameters, and the description does not need to add parameter details. According to the rubric, 0 parameters starts at a baseline of 4, and the description is adequate.

    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 'Returns' and the resource 'sheets reference card', specifying that it returns all syntax. This is specific and distinguishes it from sibling tools like sheets, sheets_query, and sheets_session, as it is a help/reference tool.

    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 obtaining syntax reference but provides no explicit guidance on when to use this tool vs alternatives like sheets_query or sheets_session. No when-not-to-use or prerequisite context is given.

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

  • Behavior5/5

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

    With no annotations provided, the description fully discloses behavior: operation syntax, all subcommands, response prefixes, and conventions. It covers destructive actions (clear, delete) and provides a comprehensive reference.

    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 very long and detailed, but structured into sections. It is not concise; many details could be moved to a help file. However, the front-loading of the operation format and conventions helps usability.

    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 the tool's complexity, lack of schema descriptions, output schema, or annotations, the description is remarkably complete. It covers all operation categories, response indicators, and usage conventions, leaving minimal ambiguity.

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

    Parameters5/5

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

    Schema coverage is 0%, so the description compensates fully. It explains the 'ops' array format (VERB TARGET [key:value ...]) and provides exhaustive examples, adding immense semantic value 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 it 'Execute sheets operations' and provides a comprehensive list of subcommands, distinguishing it from siblings like sheets_query (querying) and sheets_help (reference).

    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?

    While the description implies this tool is for executing modifications and mentions sheets_help for reference, it does not explicitly contrast when to use this versus siblings for reading or session management. The example workflow demonstrates typical usage.

    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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  • Confirm that there are no obvious security issues.
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