list_cities
List the bike-share cities Cycle Tracker covers, with their ids (used by every other tool) and map coordinates.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the bike-share cities Cycle Tracker covers, with their ids (used by every other tool) and map coordinates.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for behavioral disclosure. It clearly communicates this is a read/list operation and what the output contains (ids and coordinates). For a simple zero-parameter listing tool, this is adequate transparency, though it does not elaborate on edge cases or response structure.
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?
A single, front-loaded sentence that states the purpose, scope, and key output fields without redundancy. Every word contributes useful 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 the tool's simplicity (zero parameters, no output schema), the description is fully complete: it names the resource, what is returned (ids and coordinates), and why it is relevant to other tools. There are no significant gaps for an agent to invoke it 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?
There are zero parameters, so the schema provides no semantic burden. The description adds valuable relationship context by explaining that the ids are used by every other tool, which is especially useful given the empty input schema.
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 uses a specific verb ('List') and clearly identifies the resource: bike-share cities covered by Cycle Tracker, including their ids and map coordinates. It distinguishes itself from sibling tools (find_stations, get_network_status, etc.) by focusing on the city-level listing.
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?
The description notes that the ids are 'used by every other tool', implying this should be called first to obtain necessary ids. This gives clear usage context, though it does not explicitly state when not to use it or name alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of bike-share data: city listing, station search, live network totals, time trends, and popular stations. No functional overlap exists.
All tool names follow a consistent verb_noun pattern (e.g., find_stations, get_network_status), making the API predictable.
Five tools cover the core features of a bike-share tracking service without unnecessary clutter, striking a good balance.
The set covers querying cities, finding stations, live status, trends, and popular stations. A minor gap is the lack of a tool for individual station details beyond live availability.