Skip to main content
Glama

get_bus_trip_updates

Retrieve live MARTA bus trip updates with arrival/departure predictions, filterable by route or stop.

Instructions

Get live MARTA bus arrival/departure predictions (GTFS-realtime trip updates).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of trips to return (default 25).
routeNoOptional GTFS route_id filter (exact match).
stop_idNoOptional GTFS stop_id filter — only trips serving this stop are returned, and only that stop's prediction is included.
stops_per_tripNoUpcoming stop predictions to include per trip (default 5; ignored when stop_id is set).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations available. Description implies read operation ('Get live... predictions') but does not disclose potential side effects, rate limits, or data freshness. Adequate but not detailed.

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?

Single sentence, no wasted words, front-loaded with key info. Highly concise and efficient.

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

Completeness4/5

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

Simple data retrieval tool with optional parameters. Description covers purpose and data type. Output schema exists (not shown) so return format is handled. Slight lack of context about data freshness or scope (MARTA), but overall sufficient.

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?

Input schema has 100% parameter description coverage. Description adds no extra meaning beyond schema fields; baseline score of 3 applies.

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?

Clear verb 'Get' and specific resource 'live MARTA bus arrival/departure predictions' with format mention. Distinct from siblings (bus positions, rail, stations).

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?

No guidance on when to use vs siblings or alternatives. Only states what tool does; no explicit when/when-not or exclusion context.

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/thejiraguy/marta-mcp'

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