Get template
bannerbear_get_templateGet a single template incl. its available_modifications (the layers you can override when generating). API: GET /v2/templates/{uid}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| uid | Yes | Template uid. |
bannerbear_get_templateGet a single template incl. its available_modifications (the layers you can override when generating). API: GET /v2/templates/{uid}.
| Name | Required | Description | Default |
|---|---|---|---|
| uid | Yes | Template uid. |
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description adds useful context about what comes back (available_modifications and what they mean for generation), but says nothing about failure modes, unknown uids, or rate limits.
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, front-loaded with the core action and payload, with the endpoint as a trailing technical note. No filler or repetition of the title.
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?
With no output schema, the description carries the return-value burden and does so at a high level by naming available_modifications. For a simple one-parameter getter with full schema coverage this is nearly complete, though error/not-found behavior is unaddressed.
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 coverage is 100% for the single uid parameter, so the schema already documents it. The description only echoes the path variable via the endpoint notation and adds no format or constraint detail beyond it; baseline 3 applies.
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 states a specific verb and resource ("Get a single template") and clarifies the payload contains available_modifications. "Single" implicitly separates it from list_templates and get_template_set, but no sibling is named explicitly, so differentiation is inferred rather than stated.
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?
Usage is implied: fetching available_modifications tells the agent which layers it can override before generating, which maps onto the create_image flow. However, there is no explicit when-to-use, no when-not-to-use, and no named alternative (e.g., list_templates for enumeration).
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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