Top Search Engines
get_v2_top_enginesTop Search Engines Group: Search Engines. Billing per call: 1 Credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | Country URL code. Example: `united-states`, `albania` | |
| platform | No | Platform |
get_v2_top_enginesTop Search Engines Group: Search Engines. Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | Country URL code. Example: `united-states`, `albania` | |
| platform | No | Platform |
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, so the description must disclose behavior, but it only mentions billing. The description does not state that this is a read-only ranking lookup, what the results represent, whether results are paginated, or what filters affect the output. This leaves important behavioral expectations completely unexplained.
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 text is short but mostly redundant: 'Top Search Engines Group: Search Engines' essentially repeats the title. 'Billing per call: 1 Credits' is a small operational detail, but the description lacks the structure expected to introduce purpose, usage, and output expectations.
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?
With no annotations, no output schema, and only two vague parameter names, the description is not sufficient for an agent to correctly invoke the tool. It leaves unclear how the top engines are ranked, how 'country' and 'platform' affect results, and what output shape to expect.
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 100%, so the description does not need to heavily explain parameters. The schema gives a useful example for 'country', though 'platform' is minimally described as 'Platform'. The description itself adds no parameter meaning, so this sits at the baseline score.
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 essentially restates the name/title: 'Top Search Engines Group: Search Engines.' It contains no clear verb like 'list' or 'retrieve' and does not explicitly say it returns top search engines for a country/platform. It also does not distinguish itself from sibling tools like get_v2_top_browsers or get_v2_top_websites.
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 description provides no guidance on when to choose this tool over alternatives such as top_browsers, top_platforms, or top_websites. There is no mention of intended scenarios, exclusions, or relationships to sibling tools. The only usage signal is the weakly implied category of 'Search Engines.'
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.