Return competitive moat analysis for an idea: defensibility assessment, barriers to entry and overall moat strength. Use it to understand how hard the idea would be to copy once launched. Read-only and free; pass an ideaId you own.
| Name | Required | Description | Default |
|---|---|---|---|
| ideaId | Yes | The idea ID |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes | The tool result rendered as human and AI readable text or markdown. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as read-only. The description adds value by stating it is 'free' and requires an 'ideaId you own,' providing ownership constraints beyond the structured data. It does not contradict annotations (both indicate no side effects). While it could disclose more about rate limits or caching, the added context is helpful.
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: two sentences, both front-loaded with essential information. The first sentence defines the output, the second provides usage and constraints. No unnecessary words or repetition.
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 simplicity (1 required param, no enums, output schema exists), the description covers the key points: what the analysis includes, why to use it, and the ownership requirement. It does not explain the data source or refresh behavior, but this is minor for a straightforward read operation.
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?
With 100% schema description coverage for the single parameter, the baseline is 3. The description goes beyond by specifying that the ideaId must be owned by the caller ('you own'), adding meaningful usage context that the schema alone does not convey.
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 returns a 'competitive moat analysis' with specific components (defensibility, barriers, moat strength), and explains its purpose: understanding how hard an idea is to copy. It distinguishes itself from sibling tools like get_competitive_density and get_market_trends by focusing on defensibility, but does not explicitly differentiate itself from other 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?
The description provides a clear usage scenario ('understand how hard the idea would be to copy once launched') and a prerequisite ('pass an ideaId you own'). However, it does not mention when not to use this tool or suggest alternative tools from the sibling list, leaving the agent without exclusion guidance.
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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Each tool targets a distinct function or data aspect, from idea CRUD to simulations, content generation, and team management. Despite the large number, descriptions clearly differentiate purposes, e.g., 'get_idea_summary' vs. 'get_idea_agents' vs. 'get_idea_evolution'. No two tools appear to do the same thing.
All tools follow a consistent verb_noun pattern in snake_case (e.g., 'create_idea', 'get_competitive_density', 'toggle_favorite'). No mixing of conventions like camelCase or abbreviations. The pattern is uniform and predictable.
63 tools is far beyond the typical well-scoped range of 3-15. While the platform's broad scope (idea validation, B2B, team, simulations) justifies many, the sheer volume can overwhelm an agent. A more curated subset or grouping would improve coherence.
The tool set covers the full startup idea lifecycle: creation, validation, retrieval of various analyses, updates, deletion, sharing, simulations, B2B lead generation, team collaboration, and market intelligence. No obvious gaps exist for the stated domain.
