Earthquake Monitor Mcp
Server Details
Our Earthquake Monitor harnesses the USGS earthquake feed to provide you with up-to-the-minute
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- varvararatta/botfactory-mcp
- GitHub Stars
- 0
TDQS
Scored across 3 tools
Health check is distinct, but list_recent_quakes and significant_quakes both return earthquake data with some overlap (e.g., both can return weekly quakes). Descriptions help differentiate, but ambiguity exists for cases like 'list significant quakes in the last week.'
Naming is inconsistent: health_check uses a noun phrase, list_recent_quakes uses verb_prefix_noun, and significant_quakes uses adjective_noun. No clear pattern across the set.
Three tools is slightly below average but reasonable for a focused monitor. Each tool serves a clear purpose, though more could be added for detail queries.
The surface covers health, recent, and significant quakes but lacks tools for detailed quake information, location-based search, or historical data beyond a week. Notable gaps exist for a fully functional earthquake monitor.
Available Tools
3 toolshealth_checkBInspect
Server health check.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description implies a read-only operation but does not disclose specifics such as what is checked, return values, or side effects. With no annotations, more detail would be beneficial.
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?
Extremely concise and front-loaded; single sentence with no unnecessary words. Efficient for a simple tool.
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 the tool has no parameters or output schema, the description is adequate but could be improved by mentioning what the health check returns (e.g., status).
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?
No parameters exist, so the description does not need to add meaning beyond the schema. Baseline score of 4 is appropriate.
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 'Server health check.' clearly states the tool's action (check) and resource (server health), and it is distinct from sibling tools which are earthquake-related.
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?
No guidance on when to use this tool versus alternatives; however, siblings are unrelated so minimal need, but still no explicit context provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_recent_quakesBInspect
List recent earthquakes. period: hour|day|week. Optional min_magnitude filter.
| Name | Required | Description | Default |
|---|---|---|---|
| period | No | day | |
| min_magnitude | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must convey behavioral traits. It indicates a read-only listing operation, but does not disclose limitations, rate limits, or that it returns up-to-date data. Adequate but not detailed.
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?
Extremely concise: two sentences, front-loaded with action, then parameter clarifications. No wasted words.
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 the tool's simplicity and lack of output schema, the description covers the main functionality. However, it does not describe the return value structure (e.g., a list of earthquakes with properties), which limits completeness.
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 coverage is 0%, so the description adds value by specifying valid values for 'period' (hour|day|week) and noting 'min_magnitude' is optional. This goes beyond the schema defaults.
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 'List recent earthquakes' with a specific verb and resource. It implies a distinction from sibling tools like 'significant_quakes' but does not explicitly differentiate.
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?
No guidance on when to use this tool versus alternatives. The description lacks context like 'Use for recent events; for significant events, see significant_quakes'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
significant_quakesCInspect
Significant earthquakes only. period: week|month.
| Name | Required | Description | Default |
|---|---|---|---|
| period | No | week |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the burden. It only states that results are 'significant' and limited by period, but fails to disclose safety (read-only?), data limits, or any side effects. Minimal behavioral context.
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 extremely concise (one sentence) and front-loaded with key info. However, it omits an explicit verb and could be slightly expanded for clarity without losing brevity.
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, and a single parameter, the description does not cover many essential aspects: return format, ordering, pagination, or error conditions. The tool seems simple but still lacks completeness for an agent to fully understand its usage.
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 description adds concrete valid values for the 'period' parameter ('week|month'), which are not present in the schema. This is helpful beyond the schema's type and default. However, it does not explain the behavior difference between week and month.
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 states 'Significant earthquakes only' which indicates the resource and filtering, but lacks an explicit action verb like 'list' or 'get'. Compared to sibling 'list_recent_quakes', it implies a more specific query but does not clearly differentiate behavior.
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?
No guidance on when to use this tool versus siblings. It does not mention alternatives or provide context such as data freshness or applicability for analysis. The sibling 'list_recent_quakes' likely covers a broader set, but no explicit comparison is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
3 tool updates
- First observed
health_check - First observed
list_recent_quakes - First observed
significant_quakes
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity – fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge – works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge – works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
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
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
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.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Connectors
Real-time earthquake events from the US Geological Survey
Search USGS and EMSC seismic data — real-time feeds, event queries, and earthquake counts.
Live earthquake alerts from USGS: M2.5+ events 24h, magnitude, depth, location. $0.01/query.
Global earthquake events from the USGS, 2150 BC-present: magnitude, depth, location, counts.
Related MCP Servers
- FlicenseNot gradedqualityCmaintenanceEnables users to explore live earthquake data from USGS, with an interactive widget for filtering and visualizing seismic events worldwide.-
- AlicenseNot gradedqualityCmaintenanceProvides live earthquake data from the USGS feed, enabling users to query recent seismic activity and view interactive earthquake widgets within the chat.46MIT
- AlicenseAqualityDmaintenanceReal-time earthquake data and seismic monitoring for AI agents via the USGS Earthquake Catalog API.8MIT
- FlicenseNot gradedqualityBmaintenanceEnables exploring recent USGS earthquakes by magnitude, depth, place, and time range through an interactive map widget, along with detailed event records and impact/reconstruction assessments.-