GetRules
Fetch the list of rules for a store to review and manage its business logic and automation configurations.
Instructions
Gets the list of rules for a given store
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Fetch the list of rules for a store to review and manage its business logic and automation configurations.
Gets the list of rules for a given store
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description carries full burden. It omits behavioral details such as authentication requirements, error handling, pagination, or what happens if store is invalid. For a mutation tool, this is a significant gap.
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?
Single sentence with no redundancy. Concise, but lacks structure or clear separation of concerns. More detail could be added without sacrificing brevity.
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, no output schema, and no annotations, the description should explain how the store is specified, the return format, and common error states. It fails to provide enough context for confident invocation.
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?
Description mentions 'for a given store' but schema has zero parameters, creating a contradiction. No semantic value is added beyond the schema, and the implication of a missing store parameter is misleading.
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 verb 'gets' and resource 'list of rules' for a given store. However, it does not differentiate from sibling tools like 'GetRule' or 'GetRulesExecutions', and the store parameter is implied but absent in schema.
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?
No guidance on when to use this tool vs alternatives. Does not mention prerequisites or context, leaving the agent to infer from the name and sibling list.
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/ktmcp-cli/beezup'
If you have feedback or need assistance with the MCP directory API, please join our Discord server