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kkaustubhvyas

iterm-logs-mcp

by kkaustubhvyas
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Python
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Server Quality Checklist

58%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    The two tools have clearly distinct purposes: one lists all open tabs with session IDs, the other retrieves logs for a specific session. There is no overlap or confusion.

    Naming Consistency5/5

    Both names follow a consistent verb_noun pattern in snake_case: list_iterm_tabs and get_iterm_tab_logs. The naming is clear and predictable.

    Tool Count3/5

    With only 2 tools, the set is minimal but covers the basic workflow of listing tabs and retrieving logs. However, it feels thin for a server claiming to provide log access, and could benefit from additional filtering or search tools.

    Completeness4/5

    The tool surface covers the core use case of listing tabs and reading logs. Minor gaps exist, such as no tool for retrieving full logs without a line limit or for searching within logs, but these are not critical.

  • Average 4.4/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 1 commit 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

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  • 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

  • Behavior3/5

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

    With no annotations, the description carries full burden. It discloses read-only behavior and the return of last max_lines lines, but lacks details about authentication needs, rate limits, or any side effects. The description is transparent but minimal.

    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 two sentences, front-loaded with the primary purpose, and contains no unnecessary words. It efficiently conveys the tool's function.

    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 simplicity (2 parameters, output schema exists), the description covers the essential information: what it does, how to identify the session, and the meaning of max_lines. It is complete for a tool of this complexity.

    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 description coverage is 0%, so description must compensate. It explains session_id as coming from list_iterm_tabs and max_lines as controlling the number of lines returned. This adds meaning beyond the schema, though more detail could be provided.

    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 explicitly states the verb ('get'), the resource ('scrollback/log contents'), and the identifier ('session_id returned from list_iterm_tabs'), clearly distinguishing it from the sibling tool list_iterm_tabs.

    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 indicates the prerequisite of obtaining session_id from list_iterm_tabs and explains the max_lines parameter, providing clear context for usage. However, it does not explicitly state when not to use this tool or offer alternatives beyond the implicit prerequisite.

    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 provided, so the description carries the full burden. It explains the tool lists tabs with cwd and running job, indicating a read-only operation. No side effects or contradictions are mentioned, which is acceptable for a simple list 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 sentence that front-loads the action and includes essential details (cwd, running job). No unnecessary 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?

    Given the tool has no parameters and an output schema exists (though not shown), the description is complete. It explains what is returned and the purpose, which is sufficient for such a simple list 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?

    There are no parameters, so schema coverage is 100%. The description correctly does not add parameter information as none exist. Baseline 4 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 lists open iTerm2 windows/tabs/sessions with cwd and running job, and explicitly says the caller can use it to pick which tab to read logs from. This distinguishes it from the sibling tool get_iterm_tab_logs.

    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 implies usage before get_iterm_tab_logs by stating 'so the caller can pick which one to read logs from.' It provides context but does not explicitly state when not to use it or alternatives, though the sibling is clear.

    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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  • Evaluate tool definition quality.

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