create_group
Cria sub-aba numa categoria.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Nome da sub-aba, até 40 caracteres. | |
| category_id | Yes | Pasta que vai receber a sub-aba, `cat_…`. |
Cria sub-aba numa categoria.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Nome da sub-aba, até 40 caracteres. | |
| category_id | Yes | Pasta que vai receber a sub-aba, `cat_…`. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / category_id / descriptionAdded value: +"Pasta que vai receber a sub-aba, `cat_…`."Input schema / properties / name / descriptionAdded value: +"Nome da sub-aba, até 40 caracteres."Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states only the basic create action, but does not mention authentication requirements, side effects, whether creation can fail due to duplicates or invalid category_id, or what the tool returns. This is minimal behavioral transparency for a mutation tool.
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 short sentence with no wasted words, and the core purpose is front-loaded. It is appropriately concise, though its brevity leaves out useful operational context.
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 two-parameter creation tool with no output schema, the description is minimally adequate: it states the action and target resource, and the schema explains the parameters. However, it lacks any context about expected behavior, prerequisites, or error conditions, making it only partially complete for an agent deciding whether and how to invoke it.
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%, so the input schema already fully documents both parameters (name and category_id). The description adds no parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate.
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 'Cria sub-aba numa categoria' clearly identifies the action (create) and the resource (sub-tab within a category), and it is distinct enough from the sibling create_category by specifying a sub-tab rather than a top-level category. It is concise and unambiguous, though it does not explicitly contrast itself with create_category.
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 guidance on when to use this tool versus alternatives such as create_category, nor does it mention prerequisites like requiring the category to already exist. Usage context must be inferred entirely from the resource name and parameter descriptions.
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.
Each tool addresses a distinct resource/action: favorites vs. history vs. watch recording are clearly separate, and the NSFW consent/pass tools are unambiguous. Even closely related tools like 'get_channel', 'get_channel_guide', and 'legacy_stream' serve different purposes. No two tools appear to do the same thing.
Most tools follow a verb_noun pattern (get_, list_, create_, add_, remove_, etc.) with clear conventions. A few exceptions exist like 'billing', 'geo', 'health', and 'me', which are nouns and break the pattern slightly, but the overall style is predictable and readable.
With 47 tools, the server is far beyond the typical well-scoped range (3-15). While the API covers a broad domain (auth, catalog, chat, comments, billing, NSFW), this many tools would be better split into smaller, focused servers. The count feels bloated and could overwhelm an agent.
The tool surface is quite comprehensive for a streaming service: it includes auth, user preferences, favorites, history, catalog search, channel details, comments, chat, NSFW consent/passes, billing, and reporting. Minor gaps exist (e.g., no update/delete for categories/groups, no comment editing), but these are not critical dead ends.