Dim Hour

Get my usage

get_my_usage

Read-only

Your own Dim Hour MCP usage for the current UTC day: total calls, the daily limit for your plan, and calls per tool. Identified callers only (a read-only connection or an API key). Calling it does not count as a call.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_my_usage"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
`day`	Yes
`plan`	Yes
`count`	No
`limit`	Yes
`tools`	No
`metered`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

AddedNov 6, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint=false, destructiveHint=false), so the bar is lower, yet the description still adds real behavior: the reporting window is the current UTC day, results are limited to identified callers, and the call itself is not counted against quota. The only notable omission is that it does not warn about what an anonymous caller sees.

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?

Two short sentences, front-loaded with what is returned and followed by the caller-identity and quota caveats. Nothing is padding, though the parenthetical about connection type is slightly denser than it needs to be.

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?

For a zero-parameter read with an output schema, this is essentially complete: scope, contents, eligibility, and cost are all covered. The output schema carries return-value detail, so the description is not obliged to explain the shape further.

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?

There are zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies no inputs are needed by framing the result as implicitly scoped to the caller and today.

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 names a specific resource and scope: the caller's own usage for the current UTC day. It even enumerates the payload (total calls, plan limit, calls per tool), so an agent knows exactly what it gets without opening the output schema. No sibling tool relates to usage, so there is nothing to confuse it with.

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 states the eligibility condition clearly: 'Identified callers only (a read-only connection or an API key)'. It also removes a common hesitation by saying the call is free of charge. What it doesn't do explicitly is say when to reach for this versus not bothering, but with no sibling offering usage data the routing question is largely moot.

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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