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DaedalMap Disaster and Geospatial Data

Resolve Point to loc_id

resolve_point
Read-only

Compact reverse geocoding. Converts one WGS84 point, or a bounded point list, into the latest-available administrative loc_id chain. Each chain row is intentionally small: loc_id, name, admin level, and vintage when available. This tool does not return polygons, hierarchy analysis, references, overlap percentages, lifecycle, provenance, or release-conversion detail. Pass the returned stack loc_ids to loc_id_info for details; use get_geometry for shapes and compare_geographies for relationships. Small exploratory calls may omit scope and resolve through the deepest served tier. Batches above the 25-point preview must declare exactly one country_scope and one target_admin_level; split multi-country input into one call per country. Cross-country admin-0/admin-1 batches may instead use bulk_preset. Anonymous callers pay above 25, while verified accounts receive included bulk throughput through 10,000 points. Current catalog: The same geography tools work worldwide across a cataloged baseline of 252 geographic entities, reaching up to Admin 2. Where additional country releases are available, the same calls automatically return deeper administrative tiers or maintained reference families. Additional detail is currently available for Australia, Brazil, Canada, France, United Kingdom, United States.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude in WGS84 decimal degrees.
lonNoLongitude in WGS84 decimal degrees.
pointsNoPoints to resolve. Up to 25 may be exploratory. Above 25, country_scope and target_admin_level are required. Anonymous callers receive a payment challenge; verified accounts have included throughput through 10,000 points.
batch_idNoOptional caller-supplied batch id echoed in the result.
request_idNoOptional caller-supplied request id for tracing.
bulk_presetNoCross-country fast path that fixes the result level to admin_0 or admin_1. Use instead of country_scope; target_admin_level may be omitted.
country_hintNoAlias for country_scope for clients that already use hint terminology.
country_scopeNoISO3/admin_0 loc_id scope such as USA or CAN. Optional for up to 100 exploratory points and required for larger batches; every point must belong to this one country.
target_admin_levelNoStopping level such as admin_0 through admin_5. Optional for up to 100 exploratory points and required for larger batches.

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=true, so the description carries the full burden. It discloses compact output shape, exploratory vs. batch limits, country_scope and target_admin_level requirements, payment for anonymous callers above 25 points, verified-account throughput through 10,000 points, and catalog coverage depth. This is rich, non-obvious behavioral context well beyond the annotation.

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?

Long but information-dense; every sentence adds a constraint, alternative, or behavioral detail. It is not tightly concise, but it is logically structured and front-loaded with the core function and key limitations before catalog details.

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?

With no output schema, the description compensates by explaining the return chain contains loc_id, name, admin level, and vintage, and explicitly enumerates omitted features. It also covers limits, payment, geographic coverage, and alternative routing, making it very complete for a complex 9-parameter tool.

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

Parameters4/5

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, but the description adds meaning by explaining exploratory vs. batch behavior and how country_scope, target_admin_level, and bulk_preset relate. Minor deduction: the description says the 25-point preview limit while the schema says country_scope is optional for up to 100 exploratory points, which creates a slight inconsistency.

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 states a specific verb and resource: 'Converts one WGS84 point, or a bounded point list, into the latest-available administrative loc_id chain.' It also distinguishes itself from sibling tools by explicitly listing what it does not return (polygons, hierarchy analysis, references, overlap percentages, etc.) and pointing to alternative tools for those needs.

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

Usage Guidelines5/5

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

Provides explicit routing guidance: pass loc_ids to loc_id_info for details, use get_geometry for shapes, compare_geographies for relationships, and bulk_preset for cross-country admin-0/admin-1 batches. This gives an agent clear conditions for selecting this tool versus alternatives.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct scopes with detailed 'Use this' guidance, but a few pairs like get_disaster_link_chain and get_disaster_links_for_event, or query_dataset versus the specialized get_* event tools, could cause momentary confusion. Overall, descriptions mitigate overlap well.

Naming Consistency4/5

The majority follow a consistent verb_noun pattern (check_, compare_, convert_, create_, estimate_, get_, list_, resolve_). Minor exceptions like loc_id_info and query_dataset are acceptable but break the pattern slightly.

Tool Count3/5

28 tools exceed the preferred range, but the broad domain spanning disasters, geospatial geometry, reference conversion, and export jobs justifies many of them. Still, the count feels heavy and might overwhelm agents.

Completeness5/5

The tool surface is remarkably comprehensive: discovery (catalog, pack, geometry catalog), resolution (point, reference, scope), geometry (check, get, compare), conversion (quote, create, status), and disaster events for multiple types. No critical dead ends for the stated domain.