huaweicloud_service_catalog
Return the recommended capability sources for Huawei Cloud agent tasks.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| intent | No | Developer intent to route, such as deploy app, use API, debug error, or inspect resources. |
Return the recommended capability sources for Huawei Cloud agent tasks.
| Name | Required | Description | Default |
|---|---|---|---|
| intent | No | Developer intent to route, such as deploy app, use API, debug error, or inspect resources. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided (no readOnlyHint, destructiveHint, or authHints), so the description carries the full burden. It implies a read-only operation via 'Return', but it does not disclose whether any side effects, authentication requirements, or rate limits apply. The lack of explicit behavioral disclosure 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?
The description is a single concise sentence with no redundant words or filler. It states the action and the resource directly, achieving maximum efficiency for its length.
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?
The description does not explain what 'capability sources' are, what format the returned data takes, or how the result should be interpreted. Combined with the absence of an output schema, an agent has insufficient context to know what to expect from the call and how to use the result.
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 single parameter 'intent' is already well-described in the schema with concrete examples ('deploy app, use API, debug error, or inspect resources'). The description adds no additional meaning beyond the schema, so it neither helps nor hinders beyond the baseline.
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 verb 'Return' clearly indicates a read operation, but the resource 'recommended capability sources' is vague—it is unclear what constitutes a 'capability source' or how this differs from search_marketplace or search_docs. The tool name 'service_catalog' hints at a catalog lookup, but the description alone does not make that explicit.
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 is given on when to use this tool versus the many sibling tools such as search_marketplace, search_docs, or get_regional_availability. An agent has no way to decide between this and similar lookup tools based on the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.