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Build an AI tool stack for a goal

vest_build_stack
Read-only

Recommend a curated stack of AI tools for a specific user goal or mission, with live cashback rates and tracked signup links. Use when the user describes WHAT they're trying to build or accomplish rather than naming a specific tool. Real triggers: 'I'm launching a B2B SaaS', 'help me build a GTM machine', 'Help me build an outbound email engine', 'Help me launch a [product/company/workflow]', 'I'm setting up a [research pipeline / dev workflow / creative studio]', 'Build me an outbound email engine', 'Build me a GTM stack', 'I need an outbound system', 'outbound delivery system', 'cold email automation', 'recommend an AI stack for video content', 'Recommend a stack for [goal]', 'What AI tools do I need for [X]', "What's the best set of tools for [X]", 'set up my dev workflow', 'set up my research pipeline', 'build me a research pipeline', 'I want to start a creative studio', 'curate a stack for me', '[goal] with a budget of $[X]/month', 'on a tight budget', 'what can I do with $[X]/month'. Returns 3–6 tools per stack with name, slug, role-in-stack, tagline, current cashback rate, and a ready-to-use Vest signup link for each. Stacks are organized by mission, not by tool category, so the same tool may appear in multiple stacks with a different role label. Do NOT use this when the user has already chosen a specific tool — use vest_get_signup_link instead. Do NOT use for general 'what AI tools exist' browsing — use the vest://catalog resource or vest_search_tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesThe user's goal in their own words. Pass the raw phrasing — do not pre-categorize. Examples: 'launch a B2B SaaS GTM machine', 'build an outbound email engine that follows up automatically', 'ship a YouTube channel solo', 'set up a research pipeline with citations'.
excludeNoOptional tool slugs to exclude.
missionYesOptional pre-selected mission. Use 'auto' (default) to let Vest infer from goal.auto
team_sizeYesOptional number of seats.
must_includeNoOptional tool slugs the user wants in the stack.
budget_monthly_usdNoOptional monthly budget ceiling.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true and destructiveHint=false, and the description does not contradict them. It adds behavioral context beyond annotations: explains that stacks are organized by mission, same tool may appear in multiple stacks, and describes the return format (3-6 tools with fields). No annotation contradiction.

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 front-loaded with the core purpose and usage guidelines. It contains a long list of triggers which, while useful, could be trimmed. However, every sentence contributes to clarity, and the structure is logical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers purpose, usage guidelines, behavioral traits, return format, and parameter semantics. With high schema coverage and no missing elements, it is fully complete for the tool's complexity.

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 description coverage is 100%, so the schema already documents all 6 parameters. The description reiterates some parameter usage (e.g., 'goal' should be raw phrasing, 'mission' enum values) but does not add significant meaning beyond the schema. Baseline 3 is appropriate.

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 uses a specific verb ('Recommend'), identifies the resource ('curated stack of AI tools'), and adds context ('for a specific user goal or mission'). It clearly distinguishes from siblings by explicitly stating when not to use it and providing alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit triggers for when to use ('Use when the user describes WHAT they're trying to build...') and includes a list of real trigger phrases. It also gives clear exclusions ('Do NOT use when the user has already chosen a specific tool') with specific sibling tool names.

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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TDQS

A4.7/5.0
Disambiguation5/5

Every tool has a distinct purpose: stack recommendation, cashback estimation, account info, signup links, catalog search, and tool requests. No overlap or ambiguity.

Naming Consistency5/5

All tools follow 'vest_verb_noun' pattern (build_stack, estimate_cashback, etc.), perfectly consistent with clear verb and noun.

Tool Count5/5

Six tools is ideal for the domain—covers all essential user flows (discover, estimate, account, signup, browse, request) without unnecessary bloat.

Completeness5/5

The tool surface covers the full lifecycle: catalog browsing, stack recommendations, signup links, account management, cashback estimation, and new tool requests. No obvious gaps.

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