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usgs_earthquake_search

Read-onlyIdempotent

Custom earthquake search via USGS fdsnws. Filter by magnitude, time range, and lat/lon bounding box. Returns up to 100 events sorted by time. Use this for analytical queries instead of the feed when you need historical or geographic filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 25, max 100)
end_timeNoISO date or full datetime
start_timeNoISO date or full datetime YYYY-MM-DD[THH:MM:SS]
max_latitudeNoBounding box north
min_latitudeNoBounding box south
max_longitudeNoBounding box east
min_longitudeNoBounding box west
min_magnitudeNoMinimum magnitude (e.g. 4.5)

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false. The description adds meaningful behavioral context beyond annotations: results are capped at 100 events, sorted by time, and the call is an analytical query against USGS fdsnws. This helps the agent set expectations for output volume and ordering.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. The first sentence states the tool's function and filters; the second adds return limits and usage guidance. Every clause earns its place, and the most important scoping information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter, read-only search tool with no output schema, the description covers the essential decision factors: what it does, what filters are available, result limits, and when to prefer it over the feed. Minor gaps: it does not state behavior when no filters are provided (though no parameters are required) or list the returned event fields.

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 description coverage is 100%, so the baseline is 3. The description groups parameters conceptually (magnitude, time range, bounding box) but adds no meaning beyond what the schema already documents. It does not clarify parameter relationships, such as whether all four bounding-box coordinates are required together.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Custom earthquake search via USGS fdsnws.' It names the filtering dimensions (magnitude, time range, lat/lon bounding box) and the return behavior ('up to 100 events sorted by time'). The mention of 'instead of the feed' distinguishes it from the sibling usgs_earthquake_feed.

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

Usage Guidelines4/5

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

Gives explicit usage context: 'Use this for analytical queries instead of the feed when you need historical or geographic filtering.' This clearly identifies one alternative and a condition. However, it does not address other earthquake-related siblings like usgs_earthquake_detail or earthquake_recent, so guidance is incomplete.

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

B3.2/5.0
Disambiguation2/5

Many tools overlap heavily across domains: caselaw_search vs court_case_search vs court_opinion_search, caselaw_citation_lookup vs court_citation_resolver, and a cluster of company due-diligence tools (company_trust_check, counterparty_risk_score, entity_dossier, issuer_diligence_dossier, kyb_aml_evidence_case_file) that all screen a company for sanctions/risk/standing. With 290 tools, an agent will frequently face multiple equally plausible choices for the same user intent.

Naming Consistency3/5

The vast majority of tools follow a clean domain-prefix + snake_case pattern (census_, eia_, fmcsa_, npi_, cfpb_, etc.), but there are notable exceptions: entity_resolve and resolve_entity are reversed duplicates, reg_search (Federal Register) sits next to reg_cfr_search (CFR) with confusingly similar names, and carrier_monitor_recheck deviates from the carrier_vetting_* family.

Tool Count1/5

290 tools is an extreme count under any rubric, far exceeding even the 50+ threshold for the lowest score. While the group-filtering mechanism and meta-tools like list_tool_groups and search_available_datasets mitigate the practical burden, the raw surface is still massively oversized for an agent to select from accurately and efficiently.

Completeness4/5

For a read-only data-aggregation server, coverage is remarkably comprehensive across 59 domains, and generic fallbacks like cdc_dataset_query, eia_series_lookup, fred_observations, and bls_series prevent most dead ends. Minor gaps exist (a single GitHub tool, demo-only property_lookup coverage, no write/update operations anywhere), but the stated data-access purpose is well served.

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