iTerm MCP
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: reading output, sending control characters, and writing text/commands. There is no overlap in functionality, making it easy for an agent to select the right tool for each operation.
Naming Consistency5/5All tool names follow a consistent verb_noun pattern (read_terminal_output, send_control_character, write_to_terminal). The naming is uniform and predictable, using snake_case throughout with clear action-object pairs.
Tool Count3/5With only 3 tools, the set feels minimal but covers core terminal interactions. For a terminal control server, this is borderline thin, as additional operations like listing sessions or managing tabs might be expected, but it's not severely lacking.
Completeness4/5The tools cover essential terminal operations: reading, writing, and sending control signals. Minor gaps exist, such as no tools for managing multiple terminals or sessions, but the core workflow for interacting with an active terminal is well-supported without dead ends.
Average 3/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
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- No high-severity vulnerability alerts
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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 provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this requires specific permissions, how it handles errors (e.g., if no terminal is active), what format the output returns, or any rate limits. The description only states what it does, not how it behaves.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and appropriately sized for a simple tool, with zero wasted information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and no output schema, the description is incomplete for a tool that interacts with a terminal. It lacks details on behavioral traits (e.g., error handling, output format), usage context, and doesn't compensate for the absence of structured data, making it insufficient for reliable agent invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, fully documenting the single parameter 'linesOfOutput'. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage without extra value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Reads') and target resource ('output from the active iTerm terminal'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'write_to_terminal' or 'send_control_character', which would require mentioning it's for reading rather than writing or control operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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 doesn't mention prerequisites (e.g., having an active terminal), exclusions, or comparisons to sibling tools, leaving the agent to infer usage context solely from the tool name and description.
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 provided, the description carries the full burden of behavioral disclosure. It states the action ('Sends') but doesn't clarify effects (e.g., whether it interrupts running commands, requires specific terminal state, or has side effects like closing sessions). The example 'Control-C' hints at interruption, but explicit behavioral traits like permissions or terminal requirements are missing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core action with a clarifying example. There is no wasted text, and it directly addresses the tool's purpose without unnecessary elaboration, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a tool that interacts with a terminal (potentially affecting running processes), the description is incomplete. With no annotations and no output schema, it lacks details on behavioral impact, error conditions, or return values. The example helps but doesn't cover broader usage or constraints, leaving gaps for safe and effective tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, with the parameter 'letter' fully documented in the schema. The description adds minimal value by providing an example ('C' for Control-C), which reinforces the schema but doesn't elaborate on semantics like valid letters, case sensitivity, or special characters beyond what the schema implies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Sends') and target ('active iTerm terminal'), with a specific example ('Control-C') that clarifies the type of operation. It distinguishes from sibling tools like 'read_terminal_output' and 'write_to_terminal' by focusing on control characters rather than reading or writing text. However, it doesn't explicitly mention what resource is being affected beyond the terminal.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance is provided on when to use this tool versus alternatives. The description implies usage for sending control characters, but doesn't specify scenarios (e.g., interrupting processes, sending signals) or contrast with sibling tools like 'write_to_terminal' for regular text input. This leaves the agent to infer usage context.
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 provided, the description carries the full burden of behavioral disclosure. It mentions the tool writes to the 'active' terminal and can run commands, but doesn't address important behavioral aspects like whether this requires specific permissions, whether it waits for command completion, what happens if no terminal is active, or potential side effects of command execution. The description is insufficient for a mutation tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (one sentence) with zero wasted words. It's front-loaded with the core functionality ('writes text to the active iTerm terminal') followed by a usage hint. Every element earns its place in this minimal description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations, no output schema, and a single parameter, the description is incomplete. It doesn't address important contextual aspects like error conditions, what constitutes 'active' terminal, whether the tool blocks until command completion, or what happens after command execution. The description provides basic functionality but lacks sufficient operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already fully documents the single 'command' parameter. The description adds marginal value by suggesting the parameter can contain either 'text to write' or 'command to run', but doesn't provide additional syntax, format, or constraint details beyond what the schema provides. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('writes text', 'run a command') and identifies the target resource ('active iTerm terminal'). It distinguishes from sibling 'read_terminal_output' by focusing on output rather than input, though it doesn't explicitly contrast with 'send_control_character'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides implied usage context ('often used to run a command in the terminal'), suggesting this is for executing commands rather than just writing text. However, it doesn't explicitly state when to use this tool versus 'send_control_character' or provide any exclusion criteria or prerequisites for 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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