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DaedalMap Geography Tools (loc_id)

Create loc_id Conversion Job

create_conversion_job

Creates a synchronous v0 user-data conversion job with preserved scalar fields and JSON rows, CSV, JSON Lines, or Parquet output. Hosted service default: 7,500 rows, tuned around a 10-20 second response budget. A direct local-runtime loopback caller has no service item cap; local machine resources are the boundary. Identifier deduplication keeps repeated geography keys efficient.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
iso3No
itemsYesRows to convert; row-level fields may override top-level defaults.
limitNo
quote_idNoQuote id returned by estimate_conversion_job, when available.
min_shareNo
to_systemNoOptional output reference system. Omit to normalize to loc_id.
request_idNoOptional caller-supplied request id for tracing.
from_systemNo
output_nameNo
output_formatNo
geography_bindingNo
target_admin_levelNo
relationship_vintageNo

TDQS

B3.4/5.0
Behavior5/5

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

The description adds substantial behavioral detail beyond the readOnlyHint=false annotation: synchronous execution, a hosted 7,500-row default, a 10-20 second response budget, local-loopback behavior with no service cap, and identifier deduplication. This gives the agent useful expectations about limits, performance, and execution semantics. No contradiction with annotations exists.

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 with the core action, resource, and output formats front-loaded. The second and third sentences add capacity, performance, and behavioral context without fluff. Every sentence earns its place.

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

Completeness2/5

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

For a complex tool with 13 parameters, low schema coverage, and no output schema, the description omits critical information: no response/return structure, no explanation of the items array's role, and no mention of the from_system versus geography_binding choice. An agent would still need external schemas or help to invoke this correctly on non-trivial inputs.

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

Parameters2/5

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

Schema description coverage is only 31%, and the description does not explain the core conversion parameters such as from_system, geography_binding, to_system, iso3, limit, min_share, target_admin_level, or relationship_vintage. It adds useful context around output_format and overall item counts, but most of the 13 parameters remain underspecified. The description only partially compensates for the schema's low coverage.

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?

The description states a specific action and object: 'Creates a synchronous v0 user-data conversion job' and immediately specifies output formats. This goes beyond the title and helps distinguish it from estimate and geometry siblings, though it never explicitly names an alternative. It is clear but sibling differentiation is implicit rather than stated.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus estimate_conversion_job, convert_reference, or resolve_reference. The 'synchronous' qualifier hints at immediate conversion use, but no prerequisites, exclusions, or alternative-selection conditions are given. The agent is left to infer routing.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: point resolution, reference conversion, hierarchy traversal, geometry retrieval, export creation, job estimation, catalog discovery, and relationship comparison are all separated. The descriptions explicitly state what each tool does and what it does not do, preventing misselection. Even closely related tools like get_geometry, get_geometry_export, and estimate_geometry_package are differentiated by their roles (single-shape retrieval vs. export artifact vs. dry-run estimate).

Naming Consistency5/5

All 20 tool names follow a consistent verb_noun snake_case pattern (e.g., get_geometry, create_conversion_job, resolve_point, list_reference_systems). The verbs are action-oriented (get, create, estimate, resolve, compare, list, read) and each noun clearly indicates the subject. While a few like 'loc_id_info' and 'how_geometry_works' deviate slightly from the strict verb_noun structure, they still fit the overall style and are easy to predict.

Tool Count4/5

The 20 tools are slightly above the typical 3-15 range but still well-scoped for a comprehensive geocoding and geography service. The extra tools reflect the breadth of operations offered (discovery, conversion, estimation, export, resolution, relationship analysis), each earning its place. The count feels reasonable given the domain, though it approaches the upper boundary of what an agent might easily navigate.

Completeness5/5

The tool surface covers the full lifecycle of geocoding workflows: discovery (get_catalog, get_pack, read_geometry_catalog), point resolution (resolve_point), reference resolution (resolve_reference), identifier identification (identify_reference_system), hierarchy traversal (resolve_loc_id_scope, loc_id_info), geometry retrieval (get_geometry), relationship analysis (compare_geographies), conversion (convert_reference, create_conversion_job), export (create_geometry_export), and estimation (estimate_geometry_package, estimate_conversion_job). The inclusion of help tools (get_tool_help, how_geometry_works) and job status retrieval ensures no dead ends. The absence of destructive or update operations is consistent with a read-only geospatial data service, so the surface is appropriate.