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DaedalMap Earthquake Data

Get Earthquake Events

get_earthquake_events
Read-only

Paid x402 canonical tool. Queries the published earthquakes_events lane. Use this first for earthquake questions because it is the enriched DaedalMap history lane with stable loc_id geography, not the preliminary upstream wrapper. Call without payment first - the server returns HTTP 402 with the exact USDC price before any charge. Small queries stay cheap; broad scans cost more or need narrower filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoOptional sort instructions for row-returning queries.
limitNoMaximum number of rows to return. For top-N requests, include a narrow time range or region_ids before sorting.
outputNoOptional output controls such as response format hints.
filtersYesStructured filters including time ranges, region_ids, and compare clauses.
metricsYesMetric ids to return, such as 'event_count' or event attributes like 'magnitude'.
request_idNoOptional caller-supplied request id for tracing and idempotency.

TDQS

A4.5/5.0
Behavior5/5

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

The description goes beyond the readOnlyHint annotation by disclosing the paid nature of the tool, the HTTP 402 behavior when called without payment, and cost scaling for broad vs. narrow queries. It also adds data-quality context (enriched DaedalMap history lane, stable loc_id) that influences trust and interpretation.

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?

The description is three sentences, front-loaded with the key purpose and payment caveat. Every sentence adds value: what it queries, when to use it, and the payment behavior. No fluff or repetition.

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

Completeness5/5

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

For a paid, query-style tool with a good schema and annotations, the description covers purpose, usage, payment flow, cost implications, and data provenance. It is complete enough for an agent to select and invoke the tool correctly without needing to infer major details beyond the schema.

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 does not add significant parameter-level meaning beyond the schema, though it does hint at the need for narrower filters for cost control, which relates to the filters and limit parameters. This is marginal but not enough to raise the score.

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?

The description clearly states the tool queries the published earthquakes_events lane with specific verbs ('Queries', 'Use this first'). It distinguishes itself from sibling tools by describing it as the enriched DaedalMap history lane with stable loc_id geography, not the preliminary upstream wrapper or live earthquakes.

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?

Explicitly instructs to use this tool first for earthquake questions and explains why (enriched, stable loc_id), and contrasts with the preliminary upstream wrapper. However, it does not name alternative sibling tools explicitly (e.g., get_live_earthquake_events), so the exclusions are implied rather than fully spelled out.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_disaster_link_chain and get_disaster_links_for_event both take an exact event id and return related disaster information, which could cause confusion. The discovery tools (get_catalog, get_pack, get_tool_help) are well-separated.

Naming Consistency4/5

All tools use the get_ prefix except search_disaster_links, which is a minor deviation. The naming style is consistent (get_<noun> or get_<noun>_<qualifier>), so the pattern is predictable with one exception.

Tool Count5/5

The server has 8 tools, which is well within the typical 3-15 range for a domain like earthquake data and disaster links. Each tool covers a distinct aspect: discovery, live vs. canonical queries, and link exploration.

Completeness4/5

The tool surface covers canonical and live earthquake queries, pack discovery, and disaster link search/expansion. Minor gaps include lack of a dedicated single-event retrieval tool (though filters may suffice) and no administrative/update operations, which is expected for a read-focused data server.