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BACH-AI-Tools

Geodb Cities MCP Server

country_region_divisions

Retrieve administrative divisions within a specific region, filtering by population, name prefixes, and language preferences for geographic data analysis.

Instructions

Get the administrative divisions in the given region.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
minPopulationNoOnly cities having at least this population
maxPopulationNoOnly divisions having no more than this population0
namePrefixNoOnly divisions whose names start with this prefix. If languageCode is set, the prefix will be matched on the name as it appears in that language.
namePrefixDefaultLangResultsNoExample value:
languageCodeNoDisplay results in this language
asciiModeNoExample value:
hateoasModeNoExample value:
includeDeletedNoWhether to include any cities marked deleted: ALL | SINCE_YESTERDAY | SINCE_LAST_WEEK | NONE
limitNoThe maximum number of results to retrieve
offsetNoThe zero-ary offset into the results
sortNoHow to sort the results. Format: ±SORT_FIELD,±SORT_FIELD where SORT_FIELD = elevation | name | population
countryidYesAn ISO-3166 country code or WikiData id
regioncodeYesAn ISO-3166 or FIPS region code
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'Get' but doesn't disclose behavioral traits like whether this is a read-only operation, potential rate limits, authentication needs, or what the output format looks like (e.g., list of divisions with details). For a tool with 13 parameters and no output schema, this is a significant gap.

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 a single, clear sentence with zero waste—it directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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?

Given the complexity (13 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain the return values, behavioral constraints, or how it differs from siblings. For a data retrieval tool with many filtering options, more context is needed to guide effective use.

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 schema fully documents all 13 parameters. The description adds no additional meaning beyond implying filtering by region, which is already covered by the required 'regioncode' parameter. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the verb ('Get') and resource ('administrative divisions in the given region'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'admin_divisions' or 'country_region_places', which likely have overlapping functionality, so it misses full sibling distinction.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools (e.g., 'admin_divisions', 'country_region_places'), there's no indication of context, prerequisites, or exclusions, leaving the agent to guess based on names alone.

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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