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freakynit

traintrack-mcp

by freakynit

get_train_schedule

Retrieve scheduled stops, running days, times, and station coordinates for any Indian Railways train by providing its train number and optional date.

Instructions

Get a train's scheduled stops, running days, times, and available station coordinates. Upstream limit: 20 requests/minute; results may be cached for up to 12 hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional service start date in DD-MMM-YYYY format, for example "26-Jul-2026".
train_numberYesTrain number containing 4 to 6 digits.
Behavior3/5

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

The description discloses an upstream rate limit of 20 requests per minute and potential caching of up to 12 hours. With no annotations, this adds useful behavioral context, though it omits authentication requirements or error handling details.

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 two sentences long, front-loading the purpose and adding only essential behavioral constraints. Every sentence earns its place with no redundancy.

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?

Given the tool's simplicity (two parameters, no output schema, no annotations), the description covers purpose and key behavioral notes. It could mention error scenarios or output format, but it is largely complete for a straightforward lookup tool.

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 coverage is 100%, so the description adds minimal parameter semantics. It implies the output includes the listed fields but does not elaborate on input parameters beyond what the schema already 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 description clearly states it retrieves a train's scheduled stops, running days, times, and station coordinates. The verb 'Get' and object 'schedule' are specific, and the content distinguishes it from siblings like get_train_live_status or get_train_info.

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 this tool versus alternatives. The description does not mention when not to use it or point to sibling tools like search_trains for broader searches.

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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