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d3p_launch-brief

Generate a complete 5-platform launch plan with custom, ready-to-post content for your product by providing launch date, product details, target audience, and unique value.

Instructions

Generate a complete 5-platform launch plan with custom, ready-to-post content for your product Category: text | Cost: 10 sats | Endpoint: launch-brief Parameters (pass as JSON string): launch_date (string) (required): When the product is launching product_description (string) (required): What the product does and its key features product_name (string) (required): The name of the product or service being launched target_audience (string) (required): Who this product is built for unique_value (string) (required): What makes this product unique or different from competitors

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose side effects, auth requirements, rate limits, or what happens to input data. The mention of 'Cost: 10 sats' is a behavioral hint but insufficient for full transparency.

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

Conciseness2/5

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

The description is verbose, including metadata like category, cost, and endpoint that could be elsewhere. The parameter list is useful but adds length. The first sentence clearly states purpose, but overall the description could be more concise.

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

Completeness3/5

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

For a tool that generates content, the description lacks specifics like which platforms are covered or what 'ready-to-post' means. An output schema exists (not shown) but the description does not hint at return format. It is adequate but leaves some context gaps.

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 coverage is 0% as the schema only has a generic 'params' string. The description compensates by listing five required parameters (launch_date, product_description, etc.) with brief descriptions. However, this information is unstructured and mixed with other metadata, making it less effective than a proper schema would be.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates a 'complete 5-platform launch plan with custom, ready-to-post content', which is specific and actionable. However, it does not explicitly differentiate from sibling tools like 'd3p_roast-my-idea' or 'd3p_post-optimizer', so it loses some points for lack of sibling distinction.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, such as 'd3p_post-optimizer' or 'd3p_client-closer'. There is no information about prerequisites, contextual hints, or when not to use it.

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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