Think Strategies
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation4/5
The three tools have distinct primary purposes: session management, core thinking strategies, and workflow utilities. However, there is some overlap between 'think-strategies' and 'think-tools' regarding action execution and integration, which could cause minor confusion about which tool to use for specific tasks like executing actions or handling results.
Naming Consistency5/5All tool names follow a consistent 'think-' prefix pattern with descriptive suffixes (session-manager, strategies, tools). This creates a clear, predictable naming convention that helps agents identify the toolset as part of a coherent system.
Tool Count5/5With 3 tools, this is well-scoped for a thinking strategies server. Each tool serves a distinct functional area (session management, reasoning strategies, utilities), and the count is appropriate for covering the domain without being overwhelming or insufficient.
Completeness4/5The toolset covers core aspects of structured thinking: strategy selection, session persistence, and workflow utilities. A minor gap exists in direct manipulation of thinking artifacts (e.g., editing or deleting sessions), but the tools support the main think→act→reflect workflows adequately for most agent use cases.
Average 2.7/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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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 the full burden of behavioral disclosure. It mentions actions like 'connect to MCP servers' and 'execute actions' but doesn't clarify permissions needed, side effects, rate limits, or what 'check status' and 'create branches' entail in terms of behavior. This leaves significant gaps for a tool with multiple potential operations.
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 concise and front-loaded with a list of utilities, using a single sentence without unnecessary words. However, it could be more structured by explicitly linking actions to parameters or providing clearer categorization.
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 7 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It doesn't adequately explain how to use the tool, what each action does, or what to expect in return, making it insufficient for effective agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage and 7 parameters, the description does not add any meaning beyond the input schema. It lists actions but doesn't explain how parameters like serverName, command, args, branchId, branchFromThought, or thought relate to those actions, failing to compensate for the lack of schema documentation.
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 lists four utilities (connect to MCP servers, execute actions, check status, create branches) which gives a general idea of what the tool does, but it's vague about the specific verb+resource combinations and doesn't distinguish from sibling tools like think-session-manager or think-strategies. It states 'Utilities for thinking workflows' which is somewhat helpful but lacks specificity.
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 its siblings (think-session-manager, think-strategies), nor does it specify contexts or exclusions for its different actions. It merely lists functions without indicating appropriate scenarios or alternatives.
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 pagination/filtering for listing and content-based searching, but lacks details on permissions, rate limits, mutation effects (e.g., whether 'resume' modifies sessions), or response formats. For a tool with 10 parameters and multiple actions, this leaves significant behavioral gaps.
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 a single, efficient sentence that front-loads the core purpose and lists key actions. It avoids redundancy and wastes no words, though it could be slightly more structured (e.g., bullet points) given the complexity of actions and parameters.
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 tool's complexity (10 parameters, 4 actions, no annotations, no output schema), the description is incomplete. It lacks details on behavioral traits, parameter meanings, output expectations, and differentiation from siblings. The agent would struggle to use this tool effectively without additional context or trial-and-error.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for undocumented parameters. It only loosely maps to parameters: 'list with pagination/filtering' hints at 'limit', 'offset', and filtering parameters; 'search by content' hints at 'query'; 'get detailed analysis' and 'resume' hint at 'sessionId'. However, it omits many parameters (e.g., 'strategy', 'includeTopics', 'sortBy', 'completionStatus', 'minScore') and doesn't explain their semantics, failing to adequately compensate for the coverage gap.
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 as managing thinking sessions with four specific actions: list, search, get detailed analysis, and resume. It uses specific verbs and identifies the resource as 'thinking sessions,' but doesn't explicitly differentiate from sibling tools like 'think-strategies' or 'think-tools' beyond the general domain.
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 the sibling tools 'think-strategies' or 'think-tools.' It lists the available actions but doesn't explain when to choose one action over another or any prerequisites for usage. The agent must infer usage from the action parameter alone.
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 'think→act→reflect workflows' and integration with planned actions and results, but lacks critical behavioral details: it doesn't specify whether this tool performs read-only operations or mutations, what happens to session state, whether there are rate limits, authentication requirements, or what the output format looks like. For a complex tool with 12 parameters, this is a significant gap.
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 reasonably concise with three sentences, but could be more front-loaded. The first sentence effectively introduces the core purpose, but the subsequent sentences mix usage guidance and parameter references without clear structural separation. Some phrases like 'engage in guided thinking' are somewhat vague and could be more precise.
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 tool's complexity (12 parameters with nested objects, no output schema, no annotations), the description is inadequate. It doesn't explain the tool's behavioral characteristics, provides minimal parameter guidance, and offers no information about return values or error handling. For a sophisticated thinking tool with workflow capabilities, much more context is needed about how the tool actually operates and what agents should expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage and 12 parameters (many complex nested objects), the description provides minimal parameter guidance. It mentions 'strategy' parameter with 10 options and references 'plannedActions' and 'actionResults,' but doesn't explain the purpose or relationships of most parameters like 'thought,' 'qualityRating,' 'finalAnswer,' or the various numeric fields. The description fails to compensate for the complete lack of schema descriptions.
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 as 'Core thinking tool for structured problem-solving using 10 reasoning strategies' with specific verbs ('engage in guided thinking') and resources ('think→act→reflect workflows'). It distinguishes from siblings by mentioning 'think-tools for utilities and think-session-manager for session persistence,' though it doesn't fully explain how this tool differs functionally from those siblings beyond being the 'core' tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use this tool ('structured problem-solving') and explicitly names alternatives ('think-tools for utilities and think-session-manager for session persistence'), giving good guidance on tool selection. However, it doesn't specify when NOT to use this tool or provide detailed exclusion criteria, keeping it from a perfect score.
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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