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Preview a content campaign

suggest_content_campaign
Read-only

Preview a content campaign for a product BEFORE launching it. FREE — nothing is created and no credits are charged. Returns an AI-drafted campaign (title, description, call-to-action) plus whether the user can afford to launch it (1000 credits). Show the user the draft AND the credit cost, get an explicit yes, then call create_content_campaign — never launch off the back of the preview alone. Requires a product_id from search_products; write the campaign_message brief from what you know about the product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesProduct UUID from search_products
referencesNoLinks or references to include in the campaign
campaign_goalsNoCampaign goals, e.g. ["awareness", "signups"]
target_audienceNoWho the campaign should reach
campaign_messageYesThe core brief: what you want the community to create (e.g. 'Share how you use <product> in your daily workflow').
preferred_platformNoPreferred platform, e.g. "x" or "farcaster"
additional_guidelinesNoExtra do's/don'ts for creators

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description need not re-disclose that. It adds valuable context: FREE, no credits charged, returns draft and affordability (1000 credits), and the required follow-up workflow. No contradiction with annotations.

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 bit long but every sentence serves a purpose: scoping, cost, output, workflow, and prerequisites. It is front-loaded with the 'preview, free, nothing created' key facts. Slightly dense but well-structured.

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 the tool's complexity (7 params, no output schema, safety-critical workflow), the description covers everything an agent needs: what it returns, the credit threshold, the explicit-consent and next-step requirement, and the prerequisite product_id. Nothing essential is missing.

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 covers all 7 parameters at 100%, so baseline is 3. The description adds meaning beyond the schema by telling how to fill campaign_message ('from what you know about the product') and that product_id must come from search_products. This extra guidance raises it above baseline.

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?

Clearly states it previews a campaign before launch, returns a draft and affordability check, and explicitly says it does not launch. Distinguished from sibling create_content_campaign by the 'BEFORE launching' and 'never launch' emphasis.

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?

Explicitly instructs to call create_content_campaign after getting an explicit yes, and never launch off the preview alone. Also specifies that product_id must come from search_products and how to write campaign_message.

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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