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run_survival_mode

Run a Survival Mode simulation that throws a random crisis at your startup and evaluates how your idea would hold up, testing founder resilience. This spends credits and records a simulation result on the idea. Not read-only; pass an ideaId you own and make sure you have enough credits (check get_credits_balance).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaIdYesThe idea ID
languageNoResponse languageen

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesThe tool result rendered as human and AI readable text or markdown.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false. The description adds value by disclosing that credits are spent, a simulation result is recorded, and the simulation is non-deterministic ('random crisis'). This goes beyond annotations, but could still mention state changes more explicitly.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences: first states the core purpose, second gives essential usage conditions. No fluff, front-loaded with the key action and differentiator. Every word earns its place.

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?

Given low complexity (2 params, output schema present) and helpful annotations, the description covers purpose, side effects, prerequisites, and even references a sibling tool (get_credits_balance). Output structure is handled by the output schema. It is fully adequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for ideaId and language. The description adds semantic context: 'pass an ideaId you own' clarifies ownership requirement not in schema. No additional info on language beyond default. This incremental value justifies a 4 over the baseline 3.

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 clearly states the tool runs a Survival Mode simulation that throws a random crisis, evaluates idea hold-up, and tests founder resilience. It explicitly says it spends credits and records a result, distinguishing it from read-only siblings like get_simulation_status. The verb 'run' and resource 'survival mode' are specific and unambiguous.

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

Usage Guidelines4/5

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

The description provides clear context: you need an ideaId you own and sufficient credits, even directing to get_credits_balance. It says it's not read-only. However, it does not explicitly contrast with sibling run_* tools (e.g., run_arena_duel, run_time_machine) or say when not to use it, so it lacks full discriminative 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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TDQS

A4.1/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness5/5

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.

Resources