OrbiAds — Google Ad Manager
Server Details
Automate Google Ad Manager: campaigns, line items, creatives, inventory, reporting — 51 tools.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- OrbiAds/Orbiads-GAM-MCP
- GitHub Stars
- 3
- Server Listing
- OrbiAds
Glama MCP Gateway
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Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.4/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusing it with any other tool. Its purpose is clearly defined as providing server information, making it trivially distinct.
The single tool name 'server_info' follows a clear snake_case convention and is descriptive of its function. With only one tool, naming consistency is trivially perfect.
The server claims to be for Google Ad Manager operations but exposes only a single informational tool, with no actual operational capabilities. This is an extreme mismatch between the stated purpose and the tool surface.
For a Google Ad Manager server, there are no CRUD, management, or workflow tools whatsoever. The surface is severely incomplete, as agents cannot perform any meaningful Ad Manager operations.
Available Tools
1 toolserver_infoBInspect
Public health and catalogue summary for OrbiAds MCP. Google Ad Manager operations still require OAuth.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. It reveals that the tool is public and that other operations require OAuth, but it does not describe what 'health' or 'catalogue' include, nor mention any rate limits, response format, or side effects. The transparency is weak.
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 sentence with no filler. It front-loads the key information and the second clause adds useful authentication context. Every word earns its place.
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?
The tool is simple (zero parameters, no output schema, no siblings), so the description does not need extensive detail. However, it is vague about the exact contents of the 'health' and 'catalogue' summary, which could leave an agent uncertain about what to expect. It is minimally adequate but not rich.
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?
The tool has zero parameters, so parameter semantics are trivially satisfied. Per the baseline rule, a zero-parameter tool earns a 4 because the description does not need to compensate for undocumented parameters.
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 tool provides a 'Public health and catalogue summary' for OrbiAds MCP, which is specific enough for an agent to understand its purpose. It lacks a verb but the noun phrase is unambiguous. No siblings exist to differentiate, but the scope is clear.
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 implies this is a read-only, public summary tool that does not require OAuth, and explicitly notes that Google Ad Manager operations still require OAuth. This provides some contextual guidance for when to use this tool, but does not explicitly state when to prefer it over alternatives.
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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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
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Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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