trips
Server Details
Turn a trip planned in conversation into a private, editable map link you hand the person.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- peterbartsch/thistripbtw-mcp
- GitHub Stars
- 0
- Server Listing
- thistripbtw-mcp
Available Tools
3 toolsbuild_trip_linkAInspect
Use when someone has planned (or roughly sketched) a trip in this conversation and needs somewhere real to put it — when they say things like 'send me that', 'can I share this with my wife', or 'save this trip'. Builds a link that opens the whole plan as a private, editable map at its own address: no account, no card, no app, so you can use it on their behalf where signup-walled travel tools are unreachable. Give the person the link — it is theirs, free, and keepable for years. The link is also the RECORD, not just the output: hand it back to read_trip_link in any later conversation and the whole itinerary comes back as structured data, so a trip planned here can be picked up again without re-deriving it from what was said. Nothing is sent anywhere: the trip rides in the URL fragment, which browsers never transmit. YOU MUST SUPPLY COORDINATES for every place; this tool will not guess a location from a name, because a wrong guess puts someone's trip in the wrong country. Resolve place names first. Do not put personal details (passport numbers, home addresses, phone numbers) in names or notes — URLs get pasted into chats and logs.
| Name | Required | Description | Default |
|---|---|---|---|
| legs | Yes | The legs in order. Each one ends somewhere; the next starts there. | |
| name | No | Trip name, optional. | |
| origin | Yes | Where the trip starts. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral burden. It discloses that the link is the record, nothing is sent anywhere because the trip rides in the URL fragment, and it mandates coordinates and warns against personal details in names/notes. These are important behavioral traits beyond simple creation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is longer than average but front-loaded with the primary use case. Each sentence contributes context (function, behavior, prerequisites, privacy), though some parts like 'free, and keepable for years' could be seen as promotional rather than essential.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having no output schema and a complex nested input schema, the description adequately explains what the tool returns (a link), how it behaves (private, editable, no account), and critical prerequisites (coordinates, no personal data). It also ties into the sibling tool's use, making it complete for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds value by emphasizing that coordinates must be resolved first and that personal details must not appear in names or notes, which directly impacts how parameters like 'name', 'note', and coordinate fields should be populated.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool 'Builds a link that opens the whole plan as a private, editable map' with a specific verb and resource. It distinguishes from the sibling tool by explaining the link is the record and can be handed back to read_trip_link later.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly says when to use: 'when someone has planned (or roughly sketched) a trip... when they say things like "send me that"' and explains the value over signup-walled tools. It does not explicitly state when not to use, but it provides clear prerequisites like supplying coordinates and resolving place names first.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
read_kept_tripAInspect
Use when someone gives you a KEPT this trip, btw link — one that looks like https://thistripbtw.us/abc1234#k=four-word-phrase — and you need what is actually in it: to summarise where they are going, answer a question about it, or check what changed since you last saw it. Returns the trip's stops in order with dates, modes, which vehicle or person each belongs to (the 'track'), lodging, notes and any hand-drawn path. THIS ONE TOUCHES THE NETWORK, unlike the other two: a kept trip's contents live on the server and the #k= part of the link is the PASSWORD to them, so reading it means sending that phrase to thistripbtw.us over TLS. Nothing is stored and no account is involved. Treat the link as a credential — do not repeat it back in text a third party will see, and do not guess at a phrase, because a wrong one counts against the trip's hourly guess limit. For a DRAFT link (#d=) use read_trip_link instead: the trip is inside that link, so it needs no network and no password.
| Name | Required | Description | Default |
|---|---|---|---|
| link | Yes | The kept trip's link, e.g. https://thistripbtw.us/abc1234#k=treeline-downpour-rolling-switchback. The whole URL is fine. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses network access ('THIS ONE TOUCHES THE NETWORK'), TLS usage, password semantics of the #k= phrase, credential handling, rate-limit consequences for wrong guesses, and that nothing is stored. This goes far beyond basic read/write hints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is long but every sentence adds necessary context—use case, return contents, network behavior, credential handling, and sibling differentiation. It is front-loaded with the primary purpose. A slight structural improvement (e.g., separating cautions) would earn a 5, but it remains efficient for the amount of critical information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description fully explains return values (stops with dates, modes, track, lodging, notes, hand-drawn path). It also covers network, security, and alternatives, making it complete for a tool with inherent complexity around credentials and remote access.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already covers the single parameter well (100% coverage), so baseline is 3. The description adds meaningful context: the #k= part is a password, the link must be sent over TLS, and the phrase should not be repeated or guessed. This enriches the parameter's meaning beyond its type/format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific use case ('Use when someone gives you a KEPT this trip, btw link') and states exactly what the tool does: retrieve the trip's contents for summarization, questions, or change checks. It explicitly contrasts with read_trip_link for draft links, distinguishing the tool from its sibling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It clearly states when to use this tool (for kept links) and when to use the alternative ('For a DRAFT link (#d=) use read_trip_link instead'), plus why (network vs. no network). This is explicit guidance with exclusions and an alternative named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
read_trip_linkAInspect
Use when someone gives you a this trip, btw link and you need to know what is actually in it — to summarise the plan, answer a question about it, add a stop, or convert it to something else. Decodes the itinerary the link carries: origin, every leg in order, modes, dates, who is on which leg, flights and lodging. Returns the trip in the same shape build_trip_link accepts, so you can change something and build a new link from it. Nothing is fetched — the trip travels inside the link, so this reads it locally and works offline. Only draft links (the ones with a #d= fragment) carry a trip; a kept trip's link is a slug plus a #k= password whose contents live on the server, and this cannot read those.
| Name | Required | Description | Default |
|---|---|---|---|
| link | Yes | The trip link, e.g. https://thistripbtw.us/new#d=… — the whole URL is fine, or just the fragment. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. It discloses that nothing is fetched (works offline), that only draft links with #d= are readable, and that kept links (#k=) cannot be read. It also describes the output shape, giving the agent a clear behavioral model.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is structured logically: use case, what it decodes, output shape, behavior, limitation. Every sentence adds information, and there is no waste. It is longer than average but appropriate for the complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With one parameter and no output schema, the description covers all essential context: purpose, usage, parameters, output shape, and limitations. It references the sibling tool for output shape, which is sufficient. No critical gaps found.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already describes the link parameter with an example and notes that whole URL or fragment is acceptable. The description adds crucial semantic context about the #d= vs #k= distinction, which goes beyond the schema and clarifies what values will work, but the schema still does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a clear use case ('Use when someone gives you a this trip, btw link and you need to know what is actually in it') and specifies the resource and action. It distinguishes itself from the sibling build_trip_link by stating it returns the trip in the same shape build_trip_link accepts, implying read vs build.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use (to summarise, answer, add a stop, or convert) and clearly defines the limitation for kept links, which serves as a when-not-to-use. It references the sibling tool build_trip_link as the counterpart for building, providing a clear alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- Added
read_kept_trip
1 tool update
- Added
read_trip_link
1 tool update
- First observed
build_trip_link
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Discussions
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Glama MCP Gateway
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TDQS
The two tools have clearly distinct purposes: build_trip_link creates a link, while read_trip_link parses an existing link. Descriptions explicitly state when to use each, leaving no ambiguity.
Both tool names follow a consistent verb_noun pattern in snake_case: 'build_trip_link' and 'read_trip_link'. The verbs 'build' and 'read' clearly indicate the action, and the object 'trip_link' is identical, making the naming predictable.
With only two tools, the server is minimal, but it is tightly scoped to the lifecycle of a trip link (build and read). While this falls below the typical 3-15 range, it does not feel thin because the domain is so narrow; both tools are essential and earn their place.
The server covers the core operations for its domain: creating a link and reading it back. Since links can be rebuilt after reading, most workflows are complete. However, the explicit limitation that kept trips (with #k= links) cannot be read is a minor gap, preventing full lifecycle management.