lpb_get_page
Fetch a landing page's full details using its unique ID to support page analysis and management tasks.
Instructions
获取单个落地页详情(读)。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | 页面 ID |
Fetch a landing page's full details using its unique ID to support page analysis and management tasks.
获取单个落地页详情(读)。
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | 页面 ID |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It states '读' (read), but this merely repeats the 'get' in the tool name and adds no further behavioral context such as error handling, return format, or permission requirements.
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?
A single concise sentence that front-loads the purpose and includes the read-only qualifier, with zero wasted 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?
Adequate for a simple one-parameter read tool, but the description lacks explicit information about the return value, error behavior, or usage context. With no output schema, a brief mention of what the response contains would improve completeness.
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?
Schema coverage is 100% and the description adds no additional meaning about the 'id' parameter beyond what the schema already provides. Baseline 3 applies because the schema fully documents the parameter.
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 (获取) and resource (单个落地页), and explicitly notes it's a read operation (读). This distinguishes it from sibling CRUD tools like lpb_create_page or lpb_list_pages.
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 purpose implies when to use it (to fetch details of a specific page), but the description does not explicitly mention alternatives or exclusion criteria. There's no guidance on when to prefer this over lpb_list_pages or other siblings.
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/ERVeepp/mcp-server'
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