Skip to main content
Glama

Api Serp Google

api_serp_google

Google SERP: organic results with position, ads count, related searches. ?q=&num=5&gl=us [HTTP x402 price: $0.01]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / params / additionalProperties
      Removed value: -true
    • addedInput schema / properties / params / properties
      Added value: +{
      +  "num": {
      +    "anyOf": [
      +      {
      +        "type": "string"
      +      },
      +      {
      +        "type": "null"
      +      }
      +    ],
      +    "default": null
      +  },
      +  "q": {
      +    "anyOf": [
      +      {
      +        "type": "string"
      +      },
      +      {
      +        "type": "null"
      +      }
      +    ],
      +    "default": null
      +  }
      +}
  2. First observed

TDQS

B3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does disclose the result composition and the $0.01 price, which is useful behavioral context. However, 'HTTP x402' is cryptic and unexplained, and there is no mention of errors, rate limits, authentication, or other behavioral edge cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: it states the result content first, then gives a query example and cost. There is no fluff, though the cryptic 'HTTP x402' could be clearer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paid Google SERP tool with no annotations and no schema descriptions, the description gives some essential context: result fields, example parameters, and cost. But it leaves parameter semantics partially implicit and does not explain the odd 'HTTP x402' note, so an agent may still be uncertain how to correctly construct an effective request.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the undocumented parameters. The example '?q=&num=5&gl=us' hints that q is the query and num is a result count, but it does not define them explicitly. It also introduces gl, which is not listed in the schema's properties, adding ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource as Google SERP and enumerates the returned data: organic results with position, ads count, and related searches. It differentiates from siblings like api_serp_yandex by explicitly saying 'Google', though it lacks an explicit verb like 'retrieve' or 'fetch'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to choose this tool over alternatives such as api_search, api_scrape, or api_serp_yandex. The Google label implies the use case, but no explicit when-to-use or when-not-to-use guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.