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Idea Launch

Draft the idea brief

idealaunch_draft_brief

Generate suggested brief fields for an idea: target customer, why they'd care, the current alternative, and the primary market.

Returns suggestions without saving. Show them to the founder, then save the ones they want with idealaunch_update_idea_brief.

Returns: { ideaId, saved: false, suggestions: { targetCustomer, whyTheydCare, currentAlternative, primaryMarket, signupIncentive, notesToAvoid }, note }.

Consumes one of the idea's AI generation turns. Costs no Ad Run credit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaIdYes
response_formatNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations only say readOnlyHint=false and idempotentHint=false; the description goes further by disclosing that nothing is saved, that a generation turn is consumed (so repeat calls are not free), and that no Ad Run credit is spent. These are exactly the side-effect and quota facts an agent needs to plan a call sequence.

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?

Purpose is front-loaded, the non-persistence warning is bolded, and the description is compact. The explicit Returns block is justified because no output schema exists, though the nested shape is slightly verbose for a small payload.

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

Completeness4/5

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

With no output schema, describing the return value is necessary and done; quota and persistence behavior are covered. Only the meaning of response_format and ideaId usage is left unaddressed, a minor omission for two largely self-evident parameters.

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

Parameters2/5

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

Schema description coverage is 0% and the description never explains either parameter. The listed suggestion fields describe the return payload, not ideaId or the markdown/json response_format enum, so the description fails to compensate for the schema gap.

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?

States a specific verb and resource ('Generate suggested brief fields for an idea') and enumerates the generated fields, making the output scope concrete. It is clearly distinguishable from the sibling that persists the result, idealaunch_update_idea_brief.

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?

Explicit workflow guidance: show suggestions to the founder, then save chosen ones with idealaunch_update_idea_brief. It also states cost conditions (one AI generation turn, no Ad Run credit), which tells the agent when invoking is cheap versus expensive.

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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