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Glama

Septa

by io.github.pipeworx-io

Septa Train View

septa_train_view
Read-onlyIdempotent

Live positions of every SEPTA Regional Rail train currently running in the Philadelphia region — train number, line, destination, current and next stop, minutes late, and lat/lon. Answers "is my train late" and "where is train 456". Optionally filter to one line. Example: septa_train_view({ line: "Paoli/Thorndale" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lineNoOptional Regional Rail line filter: Airport, Chestnut Hill East, Chestnut Hill West, Cynwyd, Fox Chase, Lansdale/Doylestown, Manayunk/Norristown, Media/Wawa, Paoli/Thorndale, Trenton, Warminster, West Trenton, Wilmington/Newark. Omit for all live trains.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "line": "Paoli/Thorndale"
+  },
+  {}
+]
  2. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds what data is returned but does not reveal additional behavioral traits beyond what annotations provide.

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?

Two concise sentences plus an example. Every word adds value, no redundancy, and purpose 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?

Despite no output schema, the description enumerates return fields (train number, line, destination, current/next stop, minutes late, lat/lon) and covers core use cases. Parameter handling is clear.

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 100% schema coverage on a single parameter, the description adds value by clarifying the 'line' parameter is optional and showing an example call. This goes beyond the schema description alone.

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 tool provides live positions of SEPTA Regional Rail trains, listing specific data fields (train number, line, destination, etc.) and answers two common questions. This distinguishes it from sibling tools like septa_bus_positions or septa_next_to_arrive.

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

Usage Guidelines3/5

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

The description gives example queries and mentions optional line filtering, which implies usage context. However, it does not explicitly state when not to use this tool or suggest alternatives among the many SEPTA-related siblings.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap among the ask_pipeworx variants (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) and among the Polymarket tools (polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread). However, detailed descriptions help differentiate them.

Naming Consistency3/5

Tool names mix conventions: snake_case is predominant, but there is no consistent verb_noun pattern. Some tools have 'septa_' prefix, but the majority do not follow a predictable structure. Naming is inconsistent across the set, though subgroups have some consistency.

Tool Count3/5

With 36 tools, the count is high. The server name 'Septa' suggests a focused transit server, but the tool set covers transit, data access, and prediction markets, making it overly broad. The number is borderline appropriate for a general-purpose server but misaligned with the name.

Completeness4/5

The transit domain is well-covered with alerts, positions, schedules, and train views. The data access and prediction market tools also cover their domains comprehensively. Minor gaps exist (e.g., no dedicated weather tool), but overall the tool set provides a wide range of capabilities.

Resources