Skip to main content
Glama
cyntrica

Gov Data MCP

by cyntrica

septa_next_to_arrive

Read-only

Get next SEPTA regional rail departures between two stations, with times, delays, line info, and connections.

Instructions

Get next trains arriving between two SEPTA (Philadelphia) regional rail stations. Returns departure/arrival times, delays, line info, and connection details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesDestination station name (e.g. 'Bryn Mawr', 'Trenton', 'Airport Terminal E-F')
countNoNumber of results (default 4)
startYesOrigin station name (e.g. 'Suburban Station', '30th Street Station', 'Temple University')
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safe read nature is covered. The description adds what fields are returned but does not clarify behavioral details like whether 'next' refers to real-time predictions or scheduled times, or what happens with invalid station names. This is adequate but not rich.

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 sentence with no wasted words. It front-loads the verb and resource, then specifies return fields, making every token informative and easy to parse.

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?

For a simple 3-parameter read-only tool with fully documented schema and no output schema, the description covers the core purpose and return fields. It lacks mention of the real-time nature or time window, but given the simplicity and sibling context, it is reasonably complete.

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%, with start and end explained as origin/destination and count as number of results. The description does not add further parameter semantics beyond what the schema already provides, so the baseline 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 states the specific verb 'Get' and the resource: next trains arriving between two SEPTA regional rail stations. It also lists the return fields (departure/arrival times, delays, line info, connection details), distinguishing it from sibling tools like septa_bus_view or septa_train_view.

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 provides clear context that this tool is for querying next arrivals between two specific SEPTA stations, implying its use case. However, it does not explicitly mention when not to use it or name alternatives, so it falls short of a 5.

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/cyntrica/gov-data-mcp'

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