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Das-rebel

Marketic

by Das-rebel

generate_narrative

Generate brand stories, founder stories, or thought leadership narratives for marketing by specifying narrative type and brand details. Create messaging frameworks to support campaigns.

Instructions

Generate brand narrative, stories, and messaging frameworks for marketing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandYes
productNo
industryNo
narrative_typeYes
Install Server

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It simply says 'generate' without explaining side effects, required context, output format, or any interaction details. It offers no more than the tool name implies.

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

Conciseness3/5

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

The description is one efficient sentence and front-loads the primary action. However, it is overly terse for a tool with four parameters and no other documentation, so it does not fully earn its brevity by omitting essential detail.

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

Completeness1/5

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

Given the absence of annotations, output schema, and any parameter explanation, this description is grossly incomplete. An agent cannot determine required inputs, expected outputs, or behavioral consequences. It is inadequate for a generation tool of this complexity.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate for underspecified parameters, but it does not. It makes no reference to narrative_type, brand, product, or industry, leaving agents without any interpretation of what these inputs mean or how they affect output.

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 verb 'Generate' and the resource 'brand narrative, stories, and messaging frameworks for marketing,' giving a specific purpose. However, it does not differentiate from sibling tools like generate_creatives or generate_social_posts, so it only partially distinguishes itself.

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, no context about appropriate scenarios, and no exclusions. It is a bare statement with zero usage direction.

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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