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Marketic

Marketic

by Das-rebel
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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generate_creatives

Generate ad copy variants for Google, Meta, LinkedIn, and email with headlines, descriptions, CTAs, and performance predictions. Choose tone, channel, and objective to produce multiple options.

Instructions

Generate ad copy variants across channels (Google, Meta, LinkedIn, etc.). Each variant includes headline, description, CTA, hooks, confidence score, and performance prediction.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "product_name": "<product_name>",
      "product_description": "<product_description>"
    },
    "name": "generate_creatives"
  }
}

Input Schema

NameRequiredDescriptionDefault
toneNopersuasive
channelNometa_feed
objectiveNoconversion
key_benefitsNo
num_variantsNo
product_nameYes
target_audienceNo
product_descriptionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description must carry the burden. It discloses what the tool produces (variants with specific components) and implies it's a generation operation without side effects. However, it doesn't mention any behavioral aspects like required inputs, potential costs, rate limits, or whether it invokes external services. The description gives some insight into output but not into the operational behavior, so it's average.

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?

The description is a single, well-structured sentence that front-loads the main action and lists key output elements. It is concise with no filler. However, it could be slightly more structured by separating the output list, but it's efficient and clear.

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

Completeness2/5

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

Given the tool has 8 parameters, no output schema, and no annotations, the description provides only partial context. It explains what the output contains (headline, description, etc.) but fails to explain input parameters like tone, channel, objective, and num_variants. The agent would not know how to control the variant count or tailor the copy. The description is incomplete for effective usage.

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?

The description does not mention any of the 8 parameters by name or explain their meaning. The schema has enums and defaults, but the description adds no value beyond that. Since schema description coverage is 0%, the description should compensate, but it only talks about output, not inputs. This leaves parameters like 'tone', 'channel', 'objective', and 'num_variants' unexplained in the description, which is a significant gap.

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 states a clear verb ('generate') and resource ('ad copy variants'), specifies the channels (Google, Meta, LinkedIn, etc.), and lists what each variant includes (headline, description, CTA, hooks, confidence score, performance prediction). This distinguishes it from sibling tools like generate_social_posts or generate_seo_content, though it doesn't explicitly name alternatives. It's specific enough to convey the core function.

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 like generate_social_posts, generate_brief, or build_campaign. It doesn't mention any criteria for choosing this tool (e.g., 'use for paid ads across multiple channels'), nor does it state exclusions. The agent is left to infer the use case from the purpose alone.

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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