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earthquake_recent

Read-onlyIdempotent

Recent earthquakes from USGS. Filter by region (lat/lon + radius), state name, magnitude threshold, or time window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNo
lonNo
limitNoMax events (default 50).
end_timeNoISO datetime upper bound (default now).
locationNoAddress, zip, city, or 'lat,lon' to center the search. Optional.
radius_kmNoSearch radius around lat/lon (max ~20000).
start_timeNoISO datetime lower bound (default 30 days ago).
min_magnitudeNoMinimum magnitude (default 2.5).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already establish readOnly, idempotent, and non-destructive behavior, so the bar is lower. The description adds source (USGS) and recency scope, but does not disclose output shape, ordering, or limits beyond what the schema's parameter descriptions already state. No contradiction with annotations.

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?

A single, front-loaded sentence that immediately names the source and then lists the filter dimensions in compact form. It is efficiently sized, though it packs the slightly ambiguous 'state name' phrase into an otherwise tight summary.

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 read-only query tool, the description plus schema defaults and annotations provide a workable picture. However, without an output schema the description does not mention what a result contains or how events are ordered, and no guidance differentiates this from the USGS feed/search siblings.

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

Parameters3/5

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

Schema descriptions cover 6 of 8 parameters, and the description adds semantic grouping: lat/lon + radius_km, magnitude threshold = min_magnitude, time window = start/end_time. However, 'state name' is not a dedicated parameter and relies on the flexible 'location' parameter, which could mislead an agent looking for a state field.

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?

States a clear resource (recent USGS earthquakes) and enumerates the main filtering dimensions (region, state, magnitude, time). It is not a tautology and gives enough to distinguish from generic search tools, though it does not explicitly contrast with sibling tools like usgs_earthquake_feed or usgs_earthquake_search.

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

Usage Guidelines3/5

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

The use case is implied by the word 'recent' and the listed filters, but the description gives no explicit when-to-use vs alternatives. An agent must infer from sibling names (feed/search/detail) which tool to pick, so there is clear context but no exclusion or routing guidance.

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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TDQS

B3.3/5.0
Disambiguation2/5

Several tool clusters overlap heavily—company due-diligence and risk tools (counterparty_risk_score, company_trust_check, entity_dossier, issuer_diligence_dossier, resolve_entity, entity_resolve), carrier vetting tools, sanctions screening tools, and recall tools all have subtle boundary distinctions. While descriptions are detailed, an agent navigating 294 tools will frequently struggle to pick the right one.

Naming Consistency3/5

Most tools follow a readable snake_case domain-prefix pattern (fdic_, edgar_, sanctions_, congress_), which helps. However, verb placement is inconsistent—search_available_datasets vs cdc_dataset_query, resolve_entity vs entity_resolve—and synonyms like search, lookup, get, detail, fetch, and status are used interchangeably.

Tool Count1/5

294 tools is an extreme number for a single MCP server, far beyond what an agent can reliably hold in context or select from accurately. The presence of tool-group discovery helpers mitigates but does not solve the fundamental scale problem.

Completeness4/5

The data breadth is genuinely extensive, covering finance, health, legal, real estate, transportation, energy, cyber, education, and many other domains, often with generic query fallbacks. Still, some capabilities are shallow or incomplete—package tracking stops at a link, property tools are demo-only in places, and caselaw coverage is limited—so it is not a fully complete surface.