blinkit_order_count
Retrieve lifetime order counts for delivered, live, and cancelled orders after login.
Instructions
Lifetime order counts (delivered/live/cancelled). Requires login.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve lifetime order counts for delivered, live, and cancelled orders after login.
Lifetime order counts (delivered/live/cancelled). Requires login.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states a login requirement but does not disclose whether the operation is safe (read-only), what data freshness is, or any side effects.
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 at two sentences, with the purpose front-loaded. No unnecessary words.
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 zero parameters and no output schema, the description provides adequate context: what counts are returned (delivered, live, cancelled) and a prerequisite (login). It could mention that totals are lifetime, but overall complete for a simple read tool.
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?
There are no parameters, so the description does not need to explain them. Schema coverage is 100% (empty). The description adds context about the output (ordered counts by status).
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 indicates it provides lifetime order counts for delivered, live, and cancelled orders. While it distinguishes from many siblings like blinkit_add_to_cart, it could be more specific about how it differs from blinkit_order_history, which might also provide counts.
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 only usage guidance is 'Requires login,' which is a precondition. No information on when to use this tool vs alternatives like blinkit_order_history or blinkit_login_status.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/yniks/blinkit-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server