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DaedalMap Hurricane and Tropical Cyclone Data

Query Dataset

query_dataset
Read-only

Generic structured query for direct source_id or pack_id access using the same contract as POST /api/v1/query/dataset. Free packs: currency, distributed_manufacturing, floods, nri, owid, un_sdg, un_wpp, volcanoes, world_bank_wdi. Paid packs: earthquakes, hurricanes, tornadoes, tsunamis, wildfires, world_factbook, worldpop (x402 Base USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoOptional sort instructions for row-returning queries.
limitNoMaximum number of rows to return for the requested source or pack.
outputNoOptional output controls such as response format hints.
filtersNoStructured filters including time, region_ids, and compare clauses.
metricsNoMetric ids to return. Use event_count for aggregate counts when supported.
pack_idNoPack identifier from get_catalog. Newly catalog-admitted packs require no MCP schema change.
source_idNoConcrete source id such as 'earthquakes_events', 'volcanoes_events', 'hurricanes_events', or 'un_sdg/01'.
request_idNoOptional caller-supplied request id for tracing and idempotency.

TDQS

A3.6/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true, so the safety profile is already known; the description adds useful context by disclosing that paid packs incur x402 Base USDC costs, which is genuinely actionable behavioral information. Still, it does not describe response format, error conditions, or what happens when neither source_id nor pack_id is supplied, so the burden beyond annotations is only partially met.

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?

Two sentences with the purpose front-loaded ahead of the pack list; no wasted words. The lengthy but functional enumeration of free vs. paid packs earns its place because it encodes availability and cost distinctions the agent needs, keeping the overall structure tight.

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 an 8-parameter tool with nested objects (filters with time/region_ids/compare clauses) and no output schema, the description should cover return format and effective requirements, but it does neither. It leaves implicit that at least one of source_id or pack_id is needed (all params are optional) and does not disclose response shape, so an agent is left with gaps despite strong schema coverage.

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 coverage is 100%, so the schema already documents all 8 parameters with meaningful descriptions (source_id examples, pack_id pointing to get_catalog, limit maximum/minimum). The description adds the API-contract pointer but no parameter-level detail beyond the schema, so the baseline 3 is appropriate.

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 opens with a specific verb+resource: 'Generic structured query for direct source_id or pack_id access', which precisely states what the tool does and how it is invoked. It also names the API contract (POST /api/v1/query/dataset) and the pack taxonomy, clearly distinguishing it from siblings like get_catalog (listing) and get_pack (pack retrieval).

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 description implies the tool is for direct source_id or pack_id data access and enumerates the available free and paid packs, which helps an agent know when the tool is usable. However, it never explicitly states when NOT to use it or names alternatives (e.g., 'use get_catalog to discover pack_id first'), leaving routing between siblings to inference.

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

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: catalog lists packs, get_pack returns pack metadata, get_tool_help explains tool usage, query_dataset executes data queries, and search_disaster_links discovers cross-disaster relationships. There is no meaningful overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern: get_catalog, get_pack, get_tool_help, query_dataset, search_disaster_links. The verb differences reflect different action types, but the structural pattern is uniform.

Tool Count5/5

Five tools is well-scoped for a data-access MCP server. The set covers discovery, metadata retrieval, tool guidance, querying, and relationship search without unnecessary bulk or redundancy.

Completeness4/5

The tool surface covers the full discovery-to-query workflow: find packs, inspect pack metadata, get tool help, query datasets, and search disaster link families. A minor gap is the lack of dataset-level schema or status tools, but these are partly covered by get_pack metadata and are not critical for the server's read-oriented purpose.