Skip to main content
Glama
Das-rebel

Marketic

by Das-rebel

optimize_budget

Optimize marketing channel budget allocation using historical ROAS data to maximize returns. Adjust spending strategies across channels based on performance metrics.

Instructions

Optimize budget allocation across marketing channels based on historical ROAS data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
strategyNoroas_optimized
total_budgetYes
current_allocationYesJSON of channel -> amount
channel_performanceYesJSON of channel -> {roas, conversions}
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only states the optimization intent without mentioning any side effects, whether it modifies data, what it returns, or any prerequisites. For a tool that likely computes a new allocation, this is a significant gap.

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 concise sentence with no redundant wording. It gets straight to the point, making it easy to parse. However, it is perhaps too concise, sacrificing essential details for brevity. Still, as far as structure goes, it is clean and front-loaded.

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?

With four parameters, two nested objects, no output schema, and no annotations, the description is insufficient. It does not explain the expected output (e.g., a new budget allocation), the role of the strategy parameter, or any constraints. An agent cannot fully understand how to invoke this tool correctly without additional information.

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 50%: current_allocation and channel_performance have descriptions, but total_budget and strategy do not. The description does not explain these parameters or their relationships. It only references ROAS, which partially relates to channel_performance, but it fails to compensate for the missing schema details, leaving total_budget and strategy semantically unclear.

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?

The description clearly states the verb (optimize), the resource (budget allocation across marketing channels), and the basis (historical ROAS data). This is specific and distinguishes it from siblings like optimize_hashtags, which focus on a different resource. No ambiguity remains about the tool's 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. It does not mention any conditions, exclusions, or related tools. The only implied usage is the general context of budget optimization, but there is no explicit direction for the agent to select it over other tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Das-rebel/marketic'

If you have feedback or need assistance with the MCP directory API, please join our Discord server