Run AI-powered market fit validation. Provide either an existing ideaId or an ad-hoc idea description. Returns problem hunt, size check, competition map, traffic prediction, and verdict.
| Name | Required | Description | Default |
|---|---|---|---|
| idea | No | ||
| ideaId | No | ||
| websiteUrl | No | ||
| description | No | ||
| targetProblem | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It lists outputs but does not disclose any behavioral traits such as side effects, API calls, rate limits, or whether the tool is read-only. 'AI-powered' implies some processing time, but this is insufficient for an agent to understand the tool's impact.
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 sentence with a clear list of outputs. No extraneous information. Could be more structured (e.g., separate lines for inputs/outputs) but is concise and front-loaded with the core action.
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 (AI-powered, multiple outputs), the description is too sparse. It doesn't explain what the outputs mean, any prerequisites (e.g., user authentication), or how the results are generated. Lacks output schema or example usage, making it incomplete for agent 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 coverage is 0% (no parameter descriptions in schema). Description only clarifies two parameters (ideaId and idea/description), ignoring websiteUrl and targetProblem. It adds minimal meaning beyond the schema, leaving three parameters unexplained.
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?
Description clearly states the tool runs market fit validation and lists specific outputs (problem hunt, size check, competition map, etc.). It mentions two input modes (ideaId or ad-hoc description), distinguishing from siblings. However, the verb 'Run' is generic and doesn't fully differentiate from similar analysis tools.
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?
Provides guidance on input options: 'Provide either an existing ideaId or an ad-hoc idea description.' This hints at required inputs but is not explicit about minimum requirements nor when to use this tool over siblings like generate_competitor_analysis or score_idea. No when-not-to-use or alternatives mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct analytical function: scoring, market validation, competitor analysis, strategic synthesis, and report export. There is no overlap in purpose, making selection unambiguous.
Four of five tools follow a clear verb_noun pattern (export_idea_report, generate_competitor_analysis, score_idea, validate_market_fit). 'strategic_intelligence' deviates as a noun-only name, breaking the otherwise consistent pattern.
Five tools is a well-scoped number for an idea validation server. Each tool covers a distinct part of the validation workflow without redundancy or bloat.
The tools cover core validation (score, market fit, competitor analysis) and strategic synthesis, but strategic_intelligence references analyses like pressure tests, market research, and durability that are not available as standalone tools. Additionally, there is no idea management (e.g., create, list ideas), creating a dependency on external processes to supply ideaIds.