Retrieves all available departments in Kroger stores, returning department information to help users browse grocery categories and locate products.
Get a list of all available departments in Kroger stores.
Returns: Dictionary containing department information
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.4.0Input schema / additionalPropertiesAdded value: +falseOutput schema / (root)Previous value: -nullNew value: +{
+ "additionalProperties": true,
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden. It says nothing about scope (all stores globally vs. the user's preferred store), whether authentication or a selected location is required, or ordering/pagination — only a vague 'Dictionary containing department information'.
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 with the action front-loaded. The 'Returns:' line is slightly wasteful since an output schema exists and the phrase 'department information' is vague, but nothing is bloated.
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 zero parameters and an output schema present, the description only needs to convey scope and routing — and it leaves scope ambiguous ('in Kroger stores' could mean all stores or the selected one) and offers no sibling routing despite four closely related department/location tools.
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 takes zero parameters, so the baseline is 4. There is nothing for the description to disambiguate, and it correctly frames the call as taking no arguments.
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?
States a specific verb and resource: 'Get a list of all available departments in Kroger stores.' An agent can distinguish it from get_department_details and check_department_exists by implication (list vs. single detail vs. existence check), though it never names or contrasts those siblings explicitly.
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 only implied by the word 'list' — the description never says when to call this instead of get_department_details, check_department_exists, or list_chains, nor does it mention any prerequisites such as needing a preferred location set.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.