get_marketing_template
Fetch a specific marketing template by its unique slug identifier.
Instructions
Fetch a specific marketing template by slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Fetch a specific marketing template by its unique slug identifier.
Fetch a specific marketing template by slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for behavioral transparency. It only states 'Fetch' (implying read-only) but does not disclose error handling, return format, or any side effects. The description adds no behavioral context beyond the verb.
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?
The description is a single sentence of seven words, perfectly concise and front-loaded. Every word adds value, with no redundancy or fluff.
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?
For a simple tool with one parameter and no output schema, the description is minimally adequate. It states the core function but lacks details on the return value, error cases, or relationship to list_marketing_templates. Given the tool's simplicity, this is acceptable but not exemplary.
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?
Schema description coverage is 0%, so the description must compensate. It mentions 'by slug', which clarifies the parameter's role beyond the schema's name and constraints. However, it does not explain how to obtain a valid slug or what constitutes a valid slug, leaving some ambiguity.
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?
The description 'Fetch a specific marketing template by slug' clearly states the action (fetch) and the resource (marketing template) with the identifier (slug). It effectively distinguishes itself from the sibling list_marketing_templates tool, which returns multiple templates.
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?
No guidance is provided on when to use this tool versus alternatives like list_marketing_templates. There is no description of context, prerequisites, or exclusions, leaving the agent to infer usage patterns from the tool name 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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