AgentSEO AI Overview Extract
agentseo_ai_overview_extractExtract AI Overview insights for a target keyword.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sync | No | ||
| keyword | Yes | Target keyword | |
| language | No | en | |
| location | No | United States | |
| target_domain | No |
agentseo_ai_overview_extractExtract AI Overview insights for a target keyword.
| Name | Required | Description | Default |
|---|---|---|---|
| sync | No | ||
| keyword | Yes | Target keyword | |
| language | No | en | |
| location | No | United States | |
| target_domain | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description bears full responsibility. It only states the function but does not disclose behavioral traits such as whether the operation is read-only, what happens if the keyword returns no insights, or rate limits.
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 very concise (one sentence) but lacks sufficient detail. It is under-specified and does not earn its brevity by providing essential information upfront.
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 no output schema, no annotations, low parameter coverage, and 5 parameters, the description is severely incomplete. It fails to explain what the extracted insights look like, how to configure optional parameters, or any usage context.
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 description coverage is only 20% (only 'keyword' has a description). The tool description does not explain other parameters (sync, language, location, target_domain), failing to compensate for the low coverage.
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 the action (extract) and resource (AI Overview insights) for a specific input (target keyword). However, it does not explicitly differentiate from sibling tools like agentseo_analyze_serp, so it loses some clarity.
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?
There is no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description provides no usage context.
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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