Skip to main content
Glama

transitpulse

TransitPulse: TransitPulse — global public transit intelligence: route reliability, delay prediction, multi-modal trip planning, city transit scores, and commute optimization for 500+ cities worldwide. NEW: rail/coach/ferry/cruise compensation recovery engine — UK Delay Repay, EU Rail 2021/782, ferry 1177/2010, coach 181/2011, US FMC cruise refunds, Athens Convention baggage — deterministic eligibility ($0.10) + citation-locked claim letters ($2.00).

Coverage: Global

Endpoints: • status ($0.05): Live Service Status • city ($0.08): City Transit Intelligence Brief • route ($0.08): Route Reliability Analysis • commute ($0.10): Commute Quality Analysis • airport ($0.08): Airport Transit Guide • agencies ($0.05): Transit Agencies Lookup • delays ($0.05): Current Transit Delays • delays-history ($0.08): Historical Delay Patterns • trip ($0.05): Transit Trip Planning • multimodal ($0.10): Multi-Modal Journey Planning • compare ($0.12): City-to-City Transit Comparison • carfree ($0.12): Car-Free Livability Score • visitor ($0.08): First-Timer Visitor Guide • coverage ($0.10): Transit Coverage Analysis • check ($0.05): Rail/Coach/Ferry/Cruise Compensation Eligibility Check • letter ($2.00): Citation-Locked Transit Compensation Claim Letter

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoDestination neighborhood or address
cityNoCity name (e.g. London, NYC, Tokyo; default: London)
fromNoOrigin neighborhood or address
langNoLetter language (default English)
lineNoSpecific line or route to focus on
modeNoTransport mode
timeNoTime of travel (e.g. 9am, rush hour)
causeNoDisruption cause (default unknown — exemption burden is the operator's)
routeNoLine or route name (e.g. L train, Northern line)
actionYesWhich endpoint to call. Options: status | city | route | commute | airport | agencies | delays | delays-history | trip | multimodal | compare | carfree | visitor | coverage | check | letter
citiesNoAlternative: comma-separated pair (e.g. NYC,London)
city_aNoFirst city
city_bNoSecond city
schemeNoUK operator Delay Repay threshold (default DR30, conservative)
airportNoIATA code (JFK, LHR) or name
countryNoISO country of the journey/scheme (GB, FR, DE, US, CA, IN, JP, ... or EU)
corridorNoCanada VIA: journey on the Quebec City-Windsor Corridor
currencyNoTicket currency ISO code
operatorNoOperator/carrier name for the letter
travelledNoIndia TDR + FMC cruise refunds require you did NOT travel
delay_daysNoCruise: voyage delay in calendar days (FMC 3-day rule)
disruptionNoDisruption type (default delay)
claim_valueNoShip baggage: documented damages with currency
distance_kmNoCoach: scheduled service distance (Reg 181/2011 applies from 250 km)
flight_timeNoFlight departure time (e.g. 6am)
ticket_typeNoUK Delay Repay percentages differ by ticket type
journey_dateNoYYYY-MM-DD — computes claim deadlines (UK 28 days, ferry 2 months, coach 3 months, JR 1 year)
neighborhoodNoneighborhood
ticket_priceNoFare paid — percentage regimes compute the amount from this
delay_minutesNoArrival delay in minutes (rail/ferry); DEPARTURE delay for coach
choice_offeredNoCoach: did the carrier offer the refund/re-routing choice — the 50% turns on this
disembark_dateNoShip baggage: disembarkation date (Athens Art. 15 notice window + Art. 16 bar)
passenger_nameNoPassenger name (placeholder if omitted)
service_numberNoTrain/sailing/coach identifier
damage_apparentNoShip baggage (cabin): was the damage apparent at disembarkation
express_surchargeNoJapan JR: limited-express surcharge paid (the refundable component)
scheduled_journey_hoursNoFerry: scheduled crossing duration — selects the Art. 19 band

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral-transparency burden. It discloses pricing, global coverage, and the deterministic/citation-locked nature of compensation letters, but omits authentication needs, rate limits, return format, and explicit read-only/mutation status—significant gaps for an API tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and then structured as a clear endpoint list. It is somewhat long and contains redundancy (repeated 'TransitPulse') and dense regulatory detail, but the length is largely justified by the 16-endpoint scope and the need to convey the compensation engine's legal basis.

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

Completeness3/5

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

The description covers the overall domain and endpoint selection well, but with 37 parameters and no output schema, it does not explain which parameters are relevant for each endpoint (e.g., which compensation fields are required for 'check' or 'letter') or what the return payloads look like. The schema covers parameter meanings, so the description is minimally adequate but leaves substantial gaps.

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 description coverage is 100%, so the baseline is 3. The description adds notable value for the required 'action' parameter by mapping each enum value to an endpoint behavior and price, which the schema does not do. Other parameters are already fully described in the schema, so no further compensation is needed.

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's role as 'global public transit intelligence' and a 'compensation recovery engine', with a specific verb and domain. It lists 16 endpoint actions with one-line descriptions, making the tool's scope and purpose immediately identifiable and distinguished from sibling 'pulse' 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 endpoint list provides clear context for choosing among actions (status, delays, trip, letter, etc.) with pricing and brief semantics. It lacks explicit exclusion guidance or named alternatives, so it does not quite reach a 5, but the usage context is strong.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.