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prepare_logo_maker_automation

Idempotent

Save an inactive review draft. Does not generate content, spend credits or publish. Only generated logo concepts; the saved automation type must match this tool.

Input Schema

NameRequiredDescriptionDefault
recipeYes
brandIdYes
idempotencyKeyYes

Output Schema

NameRequiredDescriptionDefault
automationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.8/5.0
Behavior4/5

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

The annotations declare a non-destructive, idempotent, non-open-world write, and the description adds genuinely new context beyond them: it does not generate content, spend credits, or publish, i.e. the draft is inert until a separate activation step. That cost/side-effect disclosure is exactly the kind of value annotations cannot carry. It stops short of stating what happens on repeat calls or what the draft contains.

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?

Three short sentences with no padding and the negative constraints front-loaded, which is good. However 'Only generated logo concepts; the saved automation type must match this tool' is a clipped fragment whose referent is unclear, so brevity here shades into ambiguity rather than efficiency.

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?

For a tool with a large nested input schema, 0% parameter documentation, and a rich sibling ecosystem, the description leaves the agent without enough to call it correctly: no field guidance, no relationship to the activate/update siblings, no indication of what the saved draft becomes. The existence of an output schema offsets return-value concerns, but the input-side gap remains.

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 0% across three required top-level parameters plus a deeply nested recipe object, so the description should compensate and largely does not. The phrase 'Only generated logo concepts' hints that the recipe must target logo generation, but it explains nothing about brandId, idempotencyKey, recipe.mode, or the required configuration/timezone/cap fields.

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

Purpose3/5

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

The description says 'Save an inactive review draft,' which states an action but not the resource; the logo-maker scope only comes through obliquely in 'Only generated logo concepts.' It never distinguishes this from sibling tools like update_logo_maker_automation, activate_logo_maker_automation, or generate_logo_maker_automation_sample, so an agent must infer that this is the create/prepare step.

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?

There is no explicit when-to-use guidance and no routing to alternatives, despite a large sibling family split across prepare/activate/update/generate_sample/resume. The only usage constraint given is an error-condition note ('the saved automation type must match this tool'), which is a precondition rather than a selection rule.

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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