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Server Quality Checklist

92%
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  • Latest release: v0.13.1

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: search_output finds commands by text content, list_commands browses recent command metadata, get_output retrieves full output of a specific command, and diff_output compares outputs of two runs. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (search_output, list_commands, get_output, diff_output) using lowercase with underscores. The style is uniform and predictable.

    Tool Count5/5

    Four tools is well-scoped for the domain of querying terminal command recordings. Each tool covers a core operation (search, list, retrieve, diff) without unnecessary bloat or missing essentials.

    Completeness4/5

    The tools cover the main read-only use cases for terminal history: searching, browsing, viewing full output, and diffing. Minor gaps exist, such as lacking a tool to manage notes or delete recordings, but these are beyond the stated read-only scope.

  • Average 4.7/5 across 4 of 4 tools scored.

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

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

  • This repository includes a README.md file.

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

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

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

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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?

    Description adds 'Read-only: never re-runs anything' which is consistent with annotations (readOnlyHint, idempotentHint). Provides useful behavioral context beyond what annotations declare.

    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, no wasted words. Main purpose stated upfront, followed by filter support and usage guidance. Excellent structure.

    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 parameter count (6) and absence of output schema, description covers return format, what is not included (no output text), and filter usage. Fully sufficient for agent to use tool correctly.

    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 100% of parameters with descriptions. Description provides usage examples for some parameters (e.g., exit='fail'), but does not add significant new info 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 clearly states 'List the user's recent terminal commands' and specifies format (plain text with id, time, cwd, exit code, duration, output size). Distinguishes from siblings by indicating when to use each tool.

    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 gives guidance: 'Use this to browse history; use search_output when looking for specific text, and get_output to read what a command actually printed.' Also mentions same filters as search_output.

    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?

    The description discloses key behaviors beyond annotations: ANSI stripping, secret masking, truncation with gap marker, error behavior ('not found'), and read-only nature. Annotations already indicate read-only and idempotent, but the description adds specific, actionable details.

    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 front-loaded with the tool's purpose, followed by parameter explanations. Every sentence adds essential information, with no wasted words.

    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?

    Despite no output schema, the description fully explains what is returned (output text, metadata) and covers edge cases (large output, error). Combined with complete annotations and parameter schema, it leaves no significant gaps.

    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 baseline is 3. The description adds value by explaining the meaning of negative ids for relative addressing and the default and truncation behavior for max_bytes, exceeding what the schema provides.

    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 retrieves the full recorded output of a terminal command, including command line, exit code, cwd, and timing. It distinguishes itself from sibling tools (search_output, list_commands, diff_output) by focusing on output retrieval.

    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 explains how to obtain a command id (from search_output/list_commands or relative addressing) and how to handle large outputs (using max_bytes). It does not explicitly exclude any scenarios, but the read-only note implies safe usage.

    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?

    Description reinforces annotations by stating read-only and never re-runs commands. Adds that secrets are masked by default, and details the return format including fields and snippet behavior. 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?

    Packs essential information into a few sentences with clear front-loading of purpose. No unnecessary words, structured logically from what to when to how.

    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 8 parameters, no output schema, and moderate complexity, the description covers purpose, usage, alternatives, return format, error behavior, and safety. Sufficient for an agent to use correctly.

    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 baseline is 3. The description does not add significant detail beyond what the schema already provides for individual parameters, though it explains the overall search result behavior.

    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 performs full-text search over terminal commands, outputs, and notes, with a concrete example. It distinguishes itself from sibling tools by specifying when to use list_commands and get_output instead.

    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 advises using this tool to find which command produced specific output, and contrasts with list_commands for browsing and get_output for reading full output. Also notes empty returns are not errors.

    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?

    Annotations already provide readOnlyHint, idempotentHint, destructiveHint. The description adds valuable context: secrets are masked by default, the tool never re-runs anything (read-only), and identical outputs return a note. This disclosure exceeds what annotations alone provide.

    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 yet complete, structured with a clear opening statement followed by behavioral details and parameter explanations. Every sentence adds value without redundancy.

    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 output schema, the description explains the return format (unified diff, plain text) and includes a note for identical outputs. It covers all key aspects: use cases, default behavior, error conditions, and security masking, making it fully informative.

    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 context for the 'id' parameter (explains -N syntax) and clarifies 'other' as the older side. While baseline is 3 due to high coverage, the extra semantics justify a 4.

    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 produces a unified diff between two runs' outputs. It distinguishes from siblings like get_output (which returns full output) and search_output/list_commands (different purposes), making the tool's purpose 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 Guidelines5/5

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

    Explicit guidance on when to use with only 'id' (diffs against previous same command) versus with 'other' (explicit pair). It also explains error conditions (no earlier identical command line) and behavior for identical outputs, fully guiding the agent's decision.

    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 the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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