Skip to main content
Glama

get_district_advisor

Read-only

Identify ranked tile placements for districts based on adjacency bonuses, helping optimize city production decisions.

Instructions

Show best tiles to place a district with adjacency bonuses.

Args:
    city_id: City ID (from get_cities)
    district_type: e.g. DISTRICT_CAMPUS, DISTRICT_HOLY_SITE, DISTRICT_INDUSTRIAL_ZONE

Returns valid placement tiles ranked by adjacency bonus.
Use set_city_production with target_x/target_y to build the district.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
city_idYes
district_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations declare readOnlyHint=true, so the description doesn't need to address side effects. It adds that the tool 'Returns valid placement tiles ranked by adjacency bonus', which is additional behavioral context beyond annotations.

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 concise, consisting of a single-sentence purpose followed by a clear Args section. No extraneous information, and the key action is front-loaded.

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 the presence of an output schema, the description adequately explains the return value (ranked valid placements) and how to use the result (with set_city_production). It also mentions prerequisites (city_id from get_cities), making it complete for an AI agent.

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?

With 0% schema description coverage, the description compensates by providing the source for city_id (from get_cities) and examples for district_type. This adds meaning beyond the bare schema.

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 states the verb 'Show' and resource 'best tiles to place a district with adjacency bonuses'. It distinguishes from sibling tools like get_settle_advisor (cities) and get_wonder_advisor (wonders) by being specific to districts.

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

Usage Guidelines4/5

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

The description explains when to use the tool (to see best district placement) and what to do next (use set_city_production). It doesn't explicitly state when not to use it, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/wrislin1/civ6-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server