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DaedalMap Disaster and Geospatial Data

How Geometry MCP Works

how_geometry_works
Read-only

Free starting guide for the DaedalMap geography/geometry MCP. Call this first to learn the durable loc_id, administrative-spine, reference-family, discovery, point-lookup, and bounded-shape concepts. Then read the live geometry catalog for country-specific depths, families, and query guidance, and use get_tool_help for one exact tool. 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, Germany, Mexico, United Kingdom, United States.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionNoOptional natural-language question about how to use the geometry tool family.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

The readOnlyHint annotation already establishes that this is a safe, non-mutating operation. The description adds useful context beyond that: it reveals the tool teaches durable concepts, provides current catalog coverage, and explains how behavior scales across countries. 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.

Conciseness4/5

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

The description is rich but not bloated; it front-loads the tool's purpose and sequencing, then provides concrete catalog data that helps an agent decide whether to call it. It earns its length by communicating scope, coverage, and next steps efficiently.

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?

Given that this tool has only one optional parameter, no output schema, and read-only annotations, the description is complete for selection and invocation. It explains what concepts will be learned, which countries have extra depth, and what to do after calling this tool. Nothing essential for an agent is missing.

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%, since the optional 'question' parameter is fully described in the schema as a natural-language question about the geometry tool family. The tool description adds no additional parameter-level detail, so the baseline score of 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 clearly identifies the tool as a starting guide for the geography/geometry MCP and explicitly instructs the agent to call it first. It distinguishes itself from sibling tools by positioning itself as the conceptual entry point before read_geometry_catalog or get_tool_help.

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?

The description gives explicit sequencing: call this first, then read the live geometry catalog for country-specific details, then use get_tool_help for one exact tool. This provides clear usage context and names alternatives, leaving little ambiguity about when this tool should be invoked.

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.