Skip to main content
Glama

List seasons of a ground

list_seasons

Returns the seasons (time epochs) of a ground in chronological order. A season is the human's declaration that a chapter closed. You may create one with create_season, but only after the user confirms it — see umtri://rules/seasons. By default returns a summary view (id, label, state, startedAt, grownAt). Pass view="full" to also include metadata.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "list_seasons"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesGround slug.
viewNosummary (default) drops UI-only metadata; full includes it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does real work: it defines what a season is semantically, guarantees chronological ordering, and discloses the exact fields returned in the default view. The main gap is that it says nothing about pagination, result caps, or permissions for a potentially unbounded listing.

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?

Front-loaded with the core action and ordering, followed by the domain definition, the write-alternative caveat, and the view behavior. All four sentences are useful, though the create_season guidance slightly stretches the scope of a read tool.

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?

With no output schema, the description must and does explain the return shape, and its two parameters are fully covered by schema plus prose. For a simple two-parameter read tool this is nearly sufficient; the only missing piece is behavior on large result sets.

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 coverage is 100%, so the baseline is 3; the description goes beyond it by enumerating the concrete fields (id, label, state, startedAt, grownAt) returned under summary and clarifying that full adds metadata. That is genuine meaning about the effect of the view parameter, not a restatement of the enum.

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 first sentence states a specific verb (returns), resource (seasons of a ground), and ordering guarantee (chronological), and the parenthetical "(time epochs)" disambiguates the domain term. It also implicitly separates this read tool from create_season, which is named explicitly, so an agent can distinguish it from the many list_* siblings.

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?

It names the alternative (create_season) and the precondition for using it (only after user confirmation), plus points to umtri://rules/seasons for the governing rules. What it does not state is when an agent should call list_seasons itself versus e.g. list_events — but the read/write split is clear.

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.