Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@IMPACT Framework MCP Server Run a full IMPACT audit for my B2B SaaS"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol (MCP) server providing B2B positioning and messaging tools based on the IMPACT Framework by Shashwat Ghosh.
Messaging & Positioning for Better Storytelling
The IMPACT Framework is a systematic approach to create sharp positioning, differentiated value proposition, and effective messaging designed to address each persona of the buying group.
Phase | Component | Key Question |
I | IDENTIFY Champions | Who are your ideal customers and internal advocates? |
M | MAP Reality & Alternatives | What's the competitive landscape and status quo? |
P | PINPOINT Unique Value | What makes you genuinely different and valuable? |
A | ANCHOR in Right Market | What context makes your value obvious? |
C | CRAFT Core Message | How do you communicate this clearly and memorably? |
T | TRANSLATE to Execution | How do you bring this to life across channels? |
"Great positioning makes your product's value obvious to the customers who need it most. The IMPACT Framework ensures you get there systematically."
Related MCP server: competitor_analyzer-mcp-server
npx @shashwatgtmalpha/impact-mcp-serverOr install globally:
npm install -g @shashwatgtmalpha/impact-mcp-serverTool | Description | Phase |
| Get IMPACT Framework documentation | All |
| Analyze ideal customers and internal champions | I |
| Map competitive landscape and alternatives | M |
| Discover unique differentiation | P |
| Select optimal market category | A |
| Create positioning statements | C |
| Plan tactical deployment | T |
| Complete positioning audit | All |
{
"tool": "impact_get_framework",
"arguments": {
"component": "overview"
}
}{
"tool": "impact_identify_champions",
"arguments": {
"company_name": "Acme SaaS",
"product_description": "AI-powered sales forecasting platform",
"target_market": "B2B SaaS companies",
"typical_deal_size": "$50K ARR",
"sales_cycle": "3-6 months"
}
}{
"tool": "impact_craft_message",
"arguments": {
"company_name": "Acme SaaS",
"product_description": "AI-powered sales forecasting",
"target_customer": "VP Sales at B2B SaaS companies",
"category": "Revenue Intelligence",
"key_differentiator": "uses actual buyer behavior signals",
"main_alternative": "spreadsheet forecasting",
"key_benefit": "95% forecast accuracy"
}
}{
"tool": "impact_full_audit",
"arguments": {
"company_name": "Acme SaaS",
"product_description": "AI-powered sales forecasting platform",
"target_market": "B2B SaaS companies with 50-500 employees",
"current_positioning": "The AI forecasting platform for modern sales teams",
"main_competitors": "Clari, Gong, spreadsheets",
"biggest_challenge": "Differentiating from larger competitors"
}
}The IMPACT Framework follows a logical progression:
Week 1-2: Research & Foundation (I + M)
└── Customer Intelligence Audit
└── Competitive Analysis
↓
Week 3-4: Positioning Strategy (P + A)
└── Value Pyramid Builder
└── Beachhead Strategy
↓
Week 5-6: Core Message Development (C)
└── Positioning Statement
└── Message Hierarchy
↓
Week 7-8: Tactical Execution (T)
└── Multi-Channel Deployment
└── Sales EnablementThis MCP server is part of Shashwat Ghosh's GTM methodology suite:
IMPACT (this server) - Positioning & Messaging
EPIC - GTM Execution (Ecosystem, Product-led, Inbound/Outbound, Community)
Recommended flow: IMPACT first (positioning) → then EPIC (go-to-market execution)
Add to claude_desktop_config.json:
{
"mcpServers": {
"impact-framework": {
"command": "npx",
"args": ["@shashwatgtmalpha/impact-mcp-server"]
}
}
}Add to .mcp.json:
{
"mcpServers": {
"impact-framework": {
"command": "npx",
"args": ["@shashwatgtmalpha/impact-mcp-server"]
}
}
}Shashwat Ghosh
Founder, Helix GTM Consulting
LinkedIn | GTM Alpha
MIT
Select optimal market category and beachhead strategy (A phase)
| Name | Required | Description | Default |
|---|---|---|---|
| company_name | Yes | Your company name | |
| best_customers | No | Description of your best/most successful customers | |
| expansion_goals | No | Where you want to expand to | |
| current_category | No | Current market category you compete in | |
| product_description | Yes | Brief description of your product/service |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only states that the tool 'selects' a market category and strategy, but does not disclose whether it reads inputs to produce a recommendation, mutates any state, or has side effects. The behavior is entirely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that is front-loaded with the verb and key objects. It avoids redundancy and is easy to parse, though it may be too brief to be fully useful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters, no output schema, no annotations), the description is inadequate. It does not explain what the tool returns, what 'A phase' means, or how it fits into the broader impact_ process, leaving a significant gap in understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The tool description adds no additional meaning about how the parameters (e.g., `product_description`, `current_category`) influence the selection of market category or beachhead strategy, but the schema already documents each parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Select') and names the resources ('optimal market category' and 'beachhead strategy'), with an added phase qualifier ('(A phase)'). This clearly communicates the tool's function and distinguishes it from sibling tools like `impact_get_framework` or `impact_craft_message`.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 the sibling tools, no exclusions, and no prerequisites. It simply states the action without any contextual 'when to use' information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Create positioning statements and message architecture (C phase)
| Name | Required | Description | Default |
|---|---|---|---|
| category | Yes | Market category | |
| key_benefit | Yes | Primary benefit delivered | |
| company_name | Yes | Your company name | |
| target_customer | Yes | Who is this for? | |
| main_alternative | Yes | Primary competitor or alternative | |
| key_differentiator | Yes | Main differentiation | |
| product_description | Yes | Brief description of your product/service |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure. It only says what the tool creates, but does not mention side effects, return values, prerequisite conditions, or whether this is a read-only generation. This is insufficient for a tool with 7 required parameters.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, a single phrase. It is front-loaded with the action and resource, earning its place. However, the cryptic 'C phase' adds ambiguity without explanation, slightly reducing clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 7 required parameters, no output schema, and no annotations, so the description must compensate. It only provides a brief action phrase and a cryptic phase reference, lacking details on what the output looks like, how it fits into the broader process, or any operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% coverage with simple descriptions for all 7 parameters, so the baseline is 3. The description adds no additional parameter semantics, but does not need to since the schema already documents each property clearly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action ('Create positioning statements and message architecture') and specifies the resource. The '(C phase)' hints at a process step, providing some differentiation from sibling tools, though the meaning of 'C phase' is not explained.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The only hint is '(C phase)', which implies a sequencing but is not explicit. No exclusions or alternative tool references are present.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Complete positioning audit using all IMPACT phases
| Name | Required | Description | Default |
|---|---|---|---|
| company_name | Yes | Your company name | |
| target_market | Yes | Target market/customer | |
| main_competitors | No | Key competitors | |
| biggest_challenge | No | Biggest positioning/messaging challenge | |
| current_positioning | No | Current positioning statement if any | |
| product_description | Yes | Brief description of your product/service |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description must carry the full burden of behavioral disclosure. It only states the purpose and does not explain what the audit entails, what output it produces, whether it is a multi-step process, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes meaning: 'complete' indicates scope, 'positioning audit' is the core action, and 'using all IMPACT phases' adds crucial context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's apparent complexity as a 'full audit', the description lacks essential context. There is no output schema, no explanation of return values, and no detail on the audit process itself. The rich schema covers parameters, but the description fails to explain what the user should expect from the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All six parameters have descriptions in the schema (100% coverage), so the baseline is 3. The description adds no additional parameter semantics, but the schema already provides adequate details for each field.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool performs a 'complete positioning audit' using all IMPACT phases. It uses a specific verb ('audit') and resource ('positioning'), and the phrase 'using all IMPACT phases' distinguishes it from sibling tools that focus on individual phases.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 the individual phase tools (e.g., impact_get_framework, impact_pinpoint_value). It does not mention prerequisites, alternatives, or specific use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get IMPACT Framework documentation and methodology
| Name | Required | Description | Default |
|---|---|---|---|
| component | Yes | Framework component to retrieve |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. The verb 'Get' implies a read-only operation, but the description does not explicitly state safety, side effects, permissions, or return behavior. Minimal disclosure for a tool that may have nuances.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence, front-loaded with the verb and resource. No wasted words, and the length is appropriate for a simple retrieval tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, but the description lacks any mention of return format, behavior, or what 'documentation' entails. With no output schema or annotations, the description is minimally adequate but leaves the agent without clear expectations of the response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'component' is fully covered by the schema with an enum and a description. The tool description adds no additional semantics beyond the schema, so the baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves IMPACT Framework documentation and methodology. It implies a distinction from sibling action tools (e.g., identify, map) by being a documentation getter, but does not explicitly differentiate or name alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus sibling tools like impact_identify_champions or impact_full_audit. The description solely states the purpose without context, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Analyze and identify ideal customers and internal champions (I phase)
| Name | Required | Description | Default |
|---|---|---|---|
| sales_cycle | No | Typical sales cycle length | |
| company_name | Yes | Your company name | |
| target_market | No | Target market or industry | |
| current_customers | No | Description of current successful customers | |
| typical_deal_size | No | Typical deal size or price point | |
| product_description | Yes | Brief description of your product/service |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It only states the high-level purpose and gives no details about what the analysis produces, how results are returned, or any side effects. This is insufficient for a 6-parameter analytical tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words, but the phrase 'I phase' is cryptic and could be expanded without much cost. It is concise but slightly under-specified.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 6 parameters, no output schema, and no annotations, the description is too thin to guide an agent in understanding what to expect. It does not explain the meaning of the 'I phase', the nature of 'champions', or how inputs like sales_cycle and typical_deal_size factor into the analysis.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers 100% of parameters with descriptions, so the schema already provides parameter semantics. The tool description adds no additional meaning about how each parameter is used in the analysis.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Analyze and identify') applied to a clear resource ('ideal customers and internal champions'). The 'I phase' hint weakly ties it to the framework but doesn't distinguish it strongly from siblings like impact_pinpoint_value or impact_anchor_market.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternative impact_* tools. The 'I phase' label is the only context, but it is not explained, and no exclusions or comparisons to siblings are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Map competitive landscape and alternatives (M phase)
| Name | Required | Description | Default |
|---|---|---|---|
| company_name | Yes | Your company name | |
| problem_solved | Yes | The main problem your product solves | |
| target_customer | No | Target customer description | |
| direct_competitors | No | Known direct competitors | |
| product_description | Yes | Brief description of your product/service |
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 disclosing behavior. It only says 'map competitive landscape and alternatives' but does not indicate whether the tool performs external research, generates a report, modifies any data, or requires any specific setup. This is thin for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler words. The '(M phase)' parenthetical is somewhat cryptic and could be replaced with more useful context, but overall the message is compact and scannable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and only a one-line description, the tool does not explain what the agent should expect as a result, how the mapping is performed, or how it fits with the sibling impact_* tools. Given five parameters and an open-ended purpose, this is incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers all five parameters with descriptions, providing 100% schema description coverage. The tool description adds no additional parameter-level meaning, so the baseline of 3 is appropriate since the schema itself is self-explanatory.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action and resource: 'Map competitive landscape and alternatives.' This distinguishes it from siblings focused on other phases like 'identify champions' or 'anchor market.' However, the parenthetical '(M phase)' is unexplained and could confuse an agent about what 'M' stands for.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives. The phrase '(M phase)' hints at a sequence in a broader framework, but it does not state prerequisites, when to prefer this tool, or when to use sibling tools instead.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Discover and articulate unique differentiation (P phase)
| Name | Required | Description | Default |
|---|---|---|---|
| company_name | Yes | Your company name | |
| competitor_claims | No | What competitors claim | |
| customer_feedback | No | What customers say they value most | |
| product_description | Yes | Brief description of your product/service | |
| claimed_differentiators | No | What you currently claim as differentiators |
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. 'Discover and articulate' vaguely implies an analytical/generative action, but it does not explain whether the tool is read-only, what side effects exist, what inputs are required (beyond the schema), or what the output is. This lacks critical transparency for a tool with no annotation safety hints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no fluff, and the main verb is front-loaded. However, the inclusion of '(P phase)' is cryptic and could confuse users unfamiliar with the framework, slightly detracting from clarity. Still, for its length, it is efficiently structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 5 parameters, no output schema, and no annotations, yet the description provides only a vague purpose statement. It does not explain what the expected output is, what 'P phase' means, how the inputs are used, or how the tool fits with the sibling tools. This is inadequate for a tool with this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The description itself adds no additional parameter semantics beyond what the schema already provides, but the schema descriptions are adequate ('Your company name', 'What competitors claim', etc.). The tool description does not compensate for any ambiguity, but none is necessary.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: discovering and articulating unique differentiation. The verb 'discover and articulate' and resource 'unique differentiation' are specific enough to convey the core purpose. However, it does not explicitly distinguish this tool from siblings like impact_map_alternatives or impact_craft_message, though the focus on differentiation does set it apart.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus its siblings. The cryptic '(P phase)' hints at being part of a sequence but provides no explicit context, prerequisites, or exclusions. With seven sibling tools, the absence of usage direction is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Plan tactical deployment across channels (T phase)
| Name | Required | Description | Default |
|---|---|---|---|
| company_name | Yes | Your company name | |
| key_messages | Yes | Top 3 key messages | |
| target_personas | Yes | Primary personas to reach | |
| current_channels | No | Current marketing/sales channels | |
| positioning_statement | Yes | Your core positioning statement |
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 only says 'plan', which implies an output but does not describe side effects, required inputs, rate limits, or what the plan looks like. This is insufficient for a tool with no structured safety metadata.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words. It is concise and to the point, though it sacrifices detail for brevity. The structure is acceptable, but the lack of informative content prevents a higher score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 5 parameters, no output schema, and no annotations, so the description must compensate. It barely explains the tool's purpose, provides no usage context, and offers no clarity on expected outputs or outcomes. This is a minimal placeholder rather than a helpful description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully explains each parameter. The description adds no additional meaning beyond what the schema already conveys, so the baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the primary action ('Plan tactical deployment across channels') and a phase identifier ('T phase'), which distinguishes it from sibling tools focusing on other phases like 'identify champions' or 'anchor market'. However, the scope is somewhat vague without additional details on what the deployment plan entails.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does 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 'T phase' hint is cryptic and does not explain the tool's role in the broader workflow or when it should be invoked instead of siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Each tool maps to a distinct phase of the IMPACT framework (I, M, P, A, C, T) plus documentation and a combined audit tool. There is no overlap between tool purposes, and an agent can clearly differentiate them.
All tools share the 'impact_' prefix and follow a verb_noun pattern (e.g., identify_champions, map_alternatives). The only deviation is 'full_audit', which uses an adjective instead of a verb, but the overall pattern is consistent and predictable.
With 8 tools, the server is well-scoped for its purpose. Each phase of the framework has a dedicated tool, plus documentation and a combined audit tool, without unnecessary bloat.
The tool set covers all phases of the IMPACT framework comprehensively. It includes documentation, individual phase analyses, and a full audit, providing complete lifecycle coverage for the stated domain.
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