subscription_status
Check your current subscription tier and usage details for the Store Screenshot Generator MCP service.
Instructions
Check your current subscription status and usage
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check your current subscription tier and usage details for the Store Screenshot Generator MCP service.
Check your current subscription status and usage
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'check' which implies a read-only operation, but doesn't clarify authentication needs, rate limits, or what specific data is returned (e.g., plan details, usage metrics, expiration dates). This leaves significant behavioral gaps for the agent.
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, clear sentence that directly states the tool's function without any wasted words. It's front-loaded with the core action and resource, making it highly efficient and easy to parse.
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?
Given the lack of annotations and output schema, the description is insufficiently complete. It doesn't explain what 'status and usage' entails (e.g., returns JSON with fields like plan_name, usage_count, renewal_date), leaving the agent uncertain about the tool's output format and behavioral specifics.
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?
The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description appropriately doesn't add parameter information, maintaining focus on the tool's purpose without unnecessary details.
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 clearly states the action ('check') and the resource ('current subscription status and usage'), making the purpose immediately understandable. It doesn't explicitly distinguish from sibling tools like 'activate_subscription' or 'deactivate_subscription', but the verb 'check' versus 'activate/deactivate' provides implicit differentiation.
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. It doesn't mention prerequisites, timing, or comparisons to sibling tools like 'refresh_subscription', leaving the agent to infer usage context solely from the tool name and description.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/k984530/store-screenshot-mcp'
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