Gemini CLI Orchestrator MCP
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool has a clearly distinct purpose in the Gemini analysis workflow: prompt crafting, iterative analysis, planning, and synthesis. There is no overlap in functionality—craft_prompt focuses on command formulation, iterate_analysis on dynamic cycles, plan_analysis on step decomposition, and synthesize_findings on combining insights. An agent can easily differentiate them based on their specific roles.
Naming Consistency5/5All tool names follow a consistent 'gemini_verb_noun' pattern (e.g., gemini_craft_prompt, gemini_iterate_analysis). This uniform structure makes the set predictable and readable, with no deviations in style or convention. The naming clearly indicates the domain (Gemini) and the action-resource pairing.
Tool Count5/5With 4 tools, this server is well-scoped for its purpose of orchestrating Gemini CLI workflows. Each tool addresses a distinct phase of analysis (prompting, iteration, planning, synthesis), and none feel redundant or missing. The count is appropriate for covering the core lifecycle without being overwhelming or insufficient.
Completeness4/5The tool set covers the essential phases of a Gemini analysis workflow: from initial prompt crafting to iterative cycles, planning, and final synthesis. However, there is a minor gap in direct execution or feedback tools, as all descriptions note 'you execute the commands yourself,' which might leave agents without guidance on handling execution errors or real-time adjustments. Overall, the surface is nearly complete for the stated orchestration purpose.
Average 3.1/5 across 4 of 4 tools scored. Lowest: 2.4/5.
See the Tool Scores section below for per-tool breakdowns.
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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?
No annotations are provided, so the description carries full burden. It vaguely mentions 'execute the synthesis commands yourself using your bash tools,' implying this tool might generate or guide commands rather than perform synthesis directly, but it doesn't clarify the tool's actual behavior (e.g., does it output a prompt, a plan, or something else?). It lacks details on permissions, side effects, or response format, leaving significant gaps for a tool with no 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.
Conciseness2/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is moderately long but poorly structured. The first sentence is clear, but the bullet points list generic 'how-to' concepts that don't directly explain the tool's function, and the final sentence about bash tools is tangential. It lacks front-loading of critical information and includes unnecessary details that don't earn their place in a tool 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?
Given no annotations and no output schema, the description is incomplete for a synthesis tool. It fails to explain what the tool returns (e.g., a synthesis prompt, a structured output, or just guidance), how to interpret results, or any behavioral nuances. The mention of bash tools adds confusion rather than clarity, leaving the agent with insufficient context to use the tool effectively.
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%, providing clear documentation for both parameters (steps_summary and synthesis_goal). The description adds no specific parameter information beyond what the schema already states, such as format examples or constraints. However, with high schema coverage, a baseline score of 3 is appropriate as the schema adequately handles parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool helps 'combine insights from multiple analysis steps into comprehensive understanding' and mentions synthesizing results from gemini interactions, which provides a general purpose. However, it doesn't specify what resource or output this creates (e.g., a synthesis document, report, or actionable plan), and it doesn't clearly distinguish from sibling tools like gemini_iterate_analysis or gemini_plan_analysis that might also involve analysis steps.
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 explicit guidance on when to use this tool versus alternatives. It mentions synthesizing results from 'multiple gemini interactions' but doesn't specify prerequisites (e.g., must have completed prior analysis steps) or contrast with sibling tools. The bullet points describe general synthesis concepts rather than practical usage scenarios.
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 are provided, so the description carries the full burden of behavioral disclosure. It describes the tool as a guide that suggests commands, which implies it's a read-only advisory tool, but it doesn't explicitly state this or cover other behavioral aspects like whether it requires specific permissions, has rate limits, or what the response format looks like. The description adds some context about executing commands yourself, but overall behavioral transparency is limited.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is moderately concise but could be more front-loaded. It starts with a clear purpose statement, but the bulleted list and final sentence add detail that, while informative, might be verbose. Some sentences, like 'How to interpret and build on gemini's responses,' could be integrated more tightly. Overall, it's adequate but not optimally structured for quick scanning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (advisory with 2 parameters), no annotations, and no output schema, the description provides a basic overview but lacks depth. It explains the tool's role in prompt crafting and execution context, but doesn't cover expected outputs, error handling, or integration with sibling tools. For a tool without structured behavioral data, this leaves gaps in completeness.
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, with clear documentation for both parameters (step_description and context). The description doesn't add any specific parameter semantics beyond what the schema provides, such as examples or usage tips for the parameters. Given the high schema coverage, a baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.
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: to help write better prompts for Gemini by suggesting effective commands and context. It specifies the verb 'guides you on crafting' and resource 'effective bash commands for gemini collaboration', making it clear what the tool does. However, it doesn't explicitly distinguish this from sibling tools like gemini_iterate_analysis or gemini_synthesize_findings, which prevents a perfect score.
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 implies usage context through phrases like 'guides you on crafting effective bash commands for gemini collaboration' and 'You execute the suggested commands yourself using your bash tools,' suggesting this is for prompt crafting guidance rather than direct execution. However, it lacks explicit guidance on when to use this tool versus alternatives like gemini_plan_analysis or gemini_synthesize_findings, leaving usage somewhat ambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
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 adds some context by describing the iterative process (observe-think-act cycles) and mentions handling unexpected results and pivoting approaches, which hints at adaptive behavior. However, it lacks details on permissions, rate limits, or specific output formats, leaving gaps for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded, starting with a clear purpose statement followed by bullet points that elaborate on key aspects. Each sentence adds value, such as explaining the iterative pattern and referencing ReAct, with minimal redundancy. It could be slightly more concise but is well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (iterative analysis tool), no annotations, and no output schema, the description provides a good overview of the process but lacks specifics on what the tool returns or how it integrates with siblings. It covers the 'how' of iterative analysis but doesn't fully compensate for the missing structured data, leaving some contextual gaps.
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 input schema already documents all parameters thoroughly. The description doesn't add any additional meaning or context for the parameters beyond what's in the schema (e.g., it doesn't explain how 'current_understanding' or 'iteration_goal' relate to the iterative cycles). Baseline 3 is appropriate as the 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: to 'guide iterative analysis using observe-think-act cycles for dynamic problem-solving.' It specifies the verb ('guide iterative analysis') and the method ('observe-think-act cycles'), though it doesn't explicitly differentiate from sibling tools like gemini_plan_analysis or gemini_synthesize_findings. The purpose is specific but lacks sibling comparison.
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 implies usage through phrases like 'for dynamic problem-solving' and 'Based on ReAct patterns... for complex problem-solving workflows,' suggesting it's for adaptive, multi-step analysis. However, it doesn't explicitly state when to use this tool versus alternatives like gemini_plan_analysis or gemini_synthesize_findings, nor does it provide exclusions or clear prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
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 adds some context by explaining that it provides a 'roadmap' for planning and guides thinking on decomposition, order, and incremental understanding. However, it doesn't disclose critical behavioral traits such as whether it's read-only, if it has side effects, rate limits, or authentication needs, which are significant gaps for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded, starting with a clear purpose statement. It uses bullet points efficiently to list guidance aspects without unnecessary elaboration. However, the final sentence about executing commands with bash tools could be integrated more smoothly, slightly affecting structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (planning multi-step analysis) and the absence of annotations and output schema, the description is moderately complete. It explains the planning function and guidance aspects but lacks details on behavioral traits, output format, or how it integrates with sibling tools. This leaves gaps in understanding the tool's full context and usage.
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, with the 'goal' parameter well-documented as 'Your overall analysis objective. Be specific about what you want to understand and why.' The description adds minimal value beyond this, mentioning 'complex analysis goals' but not providing additional syntax or format details. Given the high schema coverage, a baseline score of 3 is appropriate as the 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: 'Breaks down complex analysis goals into a step-by-step plan' and 'helps you plan multi-step analysis.' It specifies the verb ('breaks down') and resource ('complex analysis goals'), making the function evident. However, it doesn't explicitly differentiate from siblings like gemini_iterate_analysis or gemini_synthesize_findings, which might involve similar analysis processes.
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 implies usage by stating it's for 'complex analysis goals' and 'multi-step analysis,' suggesting it's for decomposing intricate objectives. It mentions 'You execute the suggested gemini commands yourself using your bash tools,' which hints at a planning role rather than execution. However, it lacks explicit guidance on when to use this tool versus alternatives like gemini_craft_prompt or gemini_iterate_analysis, leaving the context somewhat vague.
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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