serp_snapshot
Get top 10 Google results for a keyword with SERP features
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | Country code | |
| keyword | No | Keyword to search |
Get top 10 Google results for a keyword with SERP features
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | Country code | |
| keyword | No | Keyword to search |
Changes observed during successful MCP inspections.
Input schema / additionalPropertiesAdded value: +falseDoes the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It simply states the action without any details on rate limits, required auth, error handling, or what 'SERP features' entails. This leaves much to the agent's inference.
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, front-loaded sentence that communicates the core function without any fluff. Every word adds value, and it is appropriately sized for a simple tool.
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?
For a tool with only two parameters and no output schema, the description is mostly complete but lacks explicit return structure details. The phrase 'with SERP features' is vague and could be expanded, but given the simplicity, it is minimally adequate.
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% with descriptions for both parameters ('Country code' and 'Keyword to search'). The description adds no additional meaning beyond restating the keyword context, so it meets the baseline but does not exceed it.
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 uses a specific verb ('Get') and resource ('top 10 Google results') and clearly distinguishes this tool from siblings like backlink_check or keyword_research. It also specifies the input (keyword) and an additional feature (SERP features), making the purpose unambiguous.
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 provided on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions. Sibling tool names are available but not referenced, so the description fails to help with tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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