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trmnl_get_device_forecast

Read-onlyIdempotent

Simulate a device's upcoming check-ins to forecast when it will refresh and why waits occur, without writing any data.

Instructions

Simulate a device's coming check-ins, deciding each one the way a real check-in would Simulates upcoming check-ins without writing anything. reason explains a step's wait (e.g. asleep, or an extended refresh rate). TRMNL GET /api/devices/{device_id}/forecast.

Input Schema

NameRequiredDescriptionDefault
pathYes
queryNo
profileNoConfigured profile name; defaults to default.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.1

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so "without writing anything" largely repeats structured data. The one genuine addition is that `reason` explains a step's wait (e.g. asleep, extended refresh rate), which helps interpret results but is thin.

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

Conciseness2/5

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

The description is short but garbled: the first sentence is truncated mid-idea ("deciding each one the way a real check-in would"), then restated a line later with "Simulates upcoming check-ins without writing anything." Redundancy plus a raw endpoint line wastes the little space there is.

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

Completeness2/5

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

With no output schema, three parameters at 33% coverage, and nested path/query objects, the description should explain the simulated result shape and the `hours` window. It only touches the `reason` field, leaving most of what an agent needs to call and interpret the tool unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 33%, so the description must compensate, but it says nothing about `hours` (1-48, default 24), `profile`, or `device_id`. The only semantic hint it offers is about the output `reason` field, not any input parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ("Simulate") and resource (a device's coming check-ins / forecast), which is enough to distinguish this from siblings like trmnl_get_device_timeline or trmnl_start_refresh. It does not explicitly name a sibling to contrast against, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase "without writing anything" implies a safe, dry-run usage context, but the description never says when to prefer this over trmnl_get_device_timeline or the actual refresh tools. Usage is implied rather than stated, with no explicit exclusions.

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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