Bot traffic detector for paid ads. Input: domain. Returns trigger, fake sessions, daily USD waste.
Only one tool exists, so there is no possibility of confusing it with another. Its purpose is clearly defined."
The tool name follows a clear verb_noun pattern ('check_ad_traffic'), and with only one tool, consistency is inherently maintained.
A single tool is too few for a server named 'botguard-pro' which implies a broader bot protection service. The lone detection tool feels under-scoped for the apparent purpose.
The server only provides detection of bot traffic and wasted spend. Missing are expected capabilities like blocking traffic, detailed analytics, configuration, or remediation, leaving obvious gaps in the domain.
Detects bot traffic and wasted ad spend for a site. Input: site_id (string). Returns: trigger (bool), paid_sessions (int), estimated_wasted_per_day (float in USD). Use when diagnosing ROAS drops or invalid clicks on paid campaigns.
| Name | Required | Description | Default |
|---|---|---|---|
| site_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must convey behavioral traits. It does state the nature of the tool ('detects') and gives the return format, implying a read-only analysis. However, it does not explicitly confirm the absence of side effects, permissions, or other behavioral constraints, leaving room for assumptions.
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 compact and well-structured: statement of purpose, input, return values, and usage scenario. Every sentence adds value, with no redundancy or filler.
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 one parameter and no output schema or annotations, the description covers all essential aspects: what it does, what input it takes, what output it returns, and when to use it. It is sufficiently complete for an agent to select and invoke the tool correctly.
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 input schema has zero description coverage, and the tool description only repeats 'Input: site_id (string)' without adding any meaning. It does not explain what a site ID is, its format, or how to obtain it. This fails to compensate for the missing schema descriptions.
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's function: 'Detects bot traffic and wasted ad spend for a site.' The verb 'detects' and the specific resources (bot traffic, ad spend) make the purpose unambiguous, and it is further refined by the scope (for a site). This is distinct and specific.
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 explicit usage context: 'Use when diagnosing ROAS drops or invalid clicks on paid campaigns.' This clearly indicates when to apply the tool. However, it does not mention alternatives or when not to use it, so it falls just short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
check_ad_trafficClaiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
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The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
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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