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Get city operating config

bus_get_city_config
Read-onlyIdempotent

Retrieve a city's runtime configuration including max poll interval and arriving time threshold to determine optimal refresh rate for real-time transit data.

Instructions

Get a city's runtime config: max poll interval and "arriving" time threshold.

This is mostly relevant if you are deciding how aggressively to refresh — not for end-user questions about lines or stops.

Args:

  • city_id (string, required): e.g. '034' (Shanghai), '027' (Beijing)

  • response_format ('markdown' | 'json')

Returns (json): { "maxInterval": 30, "arrivingStationLimitSeconds": 180, "busDisplayConfig": { "lineDetail": "time#order#distance", "other": "time#order" } }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
city_idYesCity ID, e.g. '034' for Shanghai, '027' for Beijing
response_formatNoOutput format: 'markdown' for human-readable text, 'json' for full structured datamarkdown
Behavior3/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds that the tool returns runtime config values, but does not detail further behavioral traits like auth requirements or data freshness, which is acceptable for a simple read operation with good annotation coverage.

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 and well-structured with clear sections for args and returns. Every sentence adds necessary information without redundancy.

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?

Despite lacking an output schema, the description fully documents the return structure and field semantics. Combined with complete parameter documentation and usage guidance, the description is comprehensive for this simple 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 coverage is 100%, so baseline is 3. The description adds value by providing example values for city_id (e.g., '034' for Shanghai) and explaining the purpose of response_format, exceeding what the schema alone provides.

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 name and description clearly state the tool retrieves a city's runtime config (max poll interval and arriving time threshold). The description also distinguishes it from end-user line/stop queries, differentiating it from sibling tools.

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 specifies this tool is relevant for deciding refresh aggressiveness and explicitly says it's not for end-user questions about lines or stops, providing clear usage context. However, it does not name specific alternative tools for those cases.

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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