List template sets
bannerbear_list_template_setsList the template sets in the project (used by collections). API: GET /v2/template_sets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination. |
bannerbear_list_template_setsList the template sets in the project (used by collections). API: GET /v2/template_sets.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination. |
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 safety profile is covered. The description adds the underlying API endpoint ('GET /v2/template_sets') and the relationship to collections, which are useful contextual details. However, it does not disclose pagination behavior, rate limits, or authentication requirements beyond what the annotation implies.
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 extremely concise and front-loaded: one declarative sentence followed by the API endpoint. Every element earns its place, and there is no redundant or filler language.
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 list operation with a read-only annotation and a fully documented single parameter, the description is largely complete. It identifies what is returned implicitly ('List the template sets') and notes the collection relationship. A minor gap is the lack of pagination guidance, though the schema covers the parameter.
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 100%, so the single 'page' parameter is fully documented in the schema itself. The description adds no parameter-level information (e.g., pagination semantics or default behavior), which is acceptable but not additive; baseline 3 applies when the schema does the heavy lifting.
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 ('List'), a specific resource ('template sets'), and scope ('in the project'). It also distinguishes itself from the singular sibling 'bannerbear_get_template_set' by nature of listing versus getting, and the parenthetical clarifies the relationship to collections.
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?
The description provides no explicit when-to-use or when-not-to-use guidance. It does not mention alternatives such as get_template_set or list_templates, nor does it state prerequisites or exclusions. The parenthetical 'used by collections' hints at context but does not guide tool selection.
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.