Discover promotion settings
get_promotion_schemaRead allowed settings and catalogs before editing a section. No mutations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes |
get_promotion_schemaRead allowed settings and catalogs before editing a section. No mutations.
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes |
Changes observed during successful MCP inspections.
Input schema / properties / section / enumPrevious value: -[
- "content",
- "rules",
- "security",
- "colors",
- "fonts",
- "layout",
- "theme",
- "fields",
- "prizes",
- "assets",
- "bonus_actions",
- "schedule",
- "custom_css",
- "design"
-]New value: +[
+ "content",
+ "rules",
+ "security",
+ "colors",
+ "fonts",
+ "layout",
+ "theme",
+ "fields",
+ "prizes",
+ "assets",
+ "bonus_actions",
+ "schedule",
+ "custom_css",
+ "design",
+ "quiz",
+ "quiz_results"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so "No mutations" restates what is already structured. The description adds that the result covers settings and catalogs (the payload shape), which is useful, but it omits anything about permissions or response structure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with the action and the workflow context front-loaded. The second sentence, "No mutations," is redundant with the annotations and does not earn its place, but the brevity overall is a strength.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description carries the burden of describing what comes back. "Allowed settings and catalogs" is suggestive but vague for a 16-section discovery tool — an agent cannot tell whether it gets allowed enum values, field lists, or full configs.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is one parameter (section) with 0% schema description coverage, so the description bears the burden — yet it only says "a section" without clarifying what a section selects or why settings differ per value. The 16-value enum is self-explanatory enough to keep this from falling lower, but the description adds little.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a concrete verb and resource: reading allowed settings and catalogs for a section. It is distinguishable from data-fetching siblings like get_promotion because it frames itself as a discovery step tied to editing, though it never names those siblings explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives a clear usage trigger — call this before editing a section — which tells the agent where it fits in the workflow. It stops short of naming alternatives (e.g., get_promotion) or stating when this call is unnecessary.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.