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ferrislucas

iTerm MCP Server

by ferrislucas
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Server Quality Checklist

67%
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  • Latest release: v1.2.6

  • Disambiguation5/5

    Each tool has a clearly distinct function: reading output, sending control characters, and writing text. No overlap in purpose.

    Naming Consistency5/5

    All three tools follow a consistent verb_noun pattern in snake_case (read_terminal_output, send_control_character, write_to_terminal), making the set predictable.

    Tool Count5/5

    Three tools is well-scoped for terminal interaction, covering reading, writing, and control without unnecessary bloat.

    Completeness4/5

    The tools cover core terminal operations, but missing features like session management or terminal listing are minor gaps for a basic server.

  • Average 3.6/5 across 3 of 3 tools scored.

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

    • 0 of 2 issues responded to in the last 6 months
    • No commit activity data available
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • 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"
  ]
}

    Then . Browse examples.

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How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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 provided, the description carries the full burden of behavioral disclosure, yet it states nothing about side effects (e.g., whether reading clears output), output format, maximum lines, or error behavior. The agent lacks critical information about how the tool behaves at runtime.

    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 highly concise: a single sentence with no waste. It is appropriately front-loaded. However, it could afford to include a tiny bit more context without harming conciseness, hence not a perfect 5.

    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 tool's simplicity (single required parameter, no output schema), the description is insufficient. It omits essential context such as whether the read is destructive, how the terminal session is identified ('active' is ambiguous), and any limitations on the number of lines. The agent lacks enough information to use the tool confidently.

    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% because the only parameter ('linesOfOutput') is described in the schema. The description adds no additional meaning beyond the schema's 'The number of lines of output to read.' so it meets the baseline but does not enhance parameter understanding.

    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 action ('reads') and the specific resource ('output from the active iTerm terminal'). It distinctively separates this tool from its siblings ('send_control_character' and 'write_to_terminal') which perform write operations, making the tool's purpose unambiguous.

    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 its siblings. It does not mention prerequisites, alternatives, or conditions under which this tool should be chosen. The agent receives no decision support beyond the basic action.

    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, and description lacks behavioral details such as whether the command waits for completion, effect on terminal state, or authentication needs. Critical for a command execution 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?

    One succinct sentence with no unnecessary information. Front-loaded with core action.

    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?

    Adequate for a simple tool, but lacks deeper context about execution behavior (synchronous? interactive?). Without annotations, description could do more to clarify usage.

    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?

    Single parameter 'command' with schema description 'The command to run or text to write to the terminal'. Description adds marginal value beyond schema, but schema coverage is 100%.

    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 it writes text to the active iTerm terminal, often to run a command. Distinguishes from siblings (read_terminal_output and send_control_character) by its write action.

    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?

    Implies use for running commands and writing text. Context with siblings suggests when not to use (reading output or sending control characters), but no explicit exclusions.

    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 provided. Description only states action, does not disclose side effects (e.g., interrupting processes), permissions, or return behavior. Minimal behavioral insight beyond the action itself.

    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?

    Single concise sentence with all essential information: action, target, examples. No wasted words; front-loaded with purpose.

    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?

    Adequate for a simple tool with one parameter and no output schema. Covers basic purpose and examples, but lacks behavioral details or usage context that would make it fully 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 100% with description for 'letter'. Description adds examples ('C' for Control-C, ']' for telnet escape) and clarifies 'special sequences', enriching 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 clearly states the tool sends a control character to the active iTerm terminal, with specific examples (Control-C, telnet escape). It differentiates from siblings: write_to_terminal sends text, read_terminal_output reads output.

    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?

    Provides examples of when to use (control characters, special sequences). Implicitly contrasts with write_to_terminal for regular text. Could explicitly state not to use for typing text, but adequate guidance.

    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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