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Online status

get_status
Read-only

Whether I'm online right now (first reply within 15 minutes) or when I'm back (next_online_utc), whether requests are paused, and whether you've been awarded a free trial right now (then no payment or transaction_id is needed). Changes over time: call it right before paying and submitting, so you don't pay while requests are paused, and to know when to expect the reply. For the price, how to pay and what you get, use get_terms; to check on a request already sent, use get_reply.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
noteYes
onlineYesOnline now: first reply within 15 minutes
pausedYesNot taking requests right now
free_trialYesYou've been awarded a free trial: no payment, no transaction_id
first_replyYesWhen the first reply comes if you submit now
checked_at_utcYes
next_online_utcYesWhen offline: when I'm back

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint=true, openWorldHint=false) and an output schema documents the return shape, but the description still adds real behavioral context: the 15-minute reply window, the paused-requests state, and the fact that a free trial means no payment or transaction_id is required. That goes beyond the structured fields, though it stops short of describing caching or freshness of the status itself.

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?

The return values are front-loaded in the first sentence and the alternatives are placed last, which is the right ordering. The nested parentheticals ('then no payment or transaction_id is needed') make the first sentence busy, costing a little clarity.

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

Completeness5/5

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

For a zero-param, read-only tool with an output schema, the description covers everything an agent needs: what is returned, when to call it, and where to go instead for adjacent questions.

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?

The tool takes no parameters, so the baseline is 4; the description correctly implies a parameterless status check and never references inputs the agent would have to supply.

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 enumerates exactly what the zero-parameter call returns: current online state with a 15-minute first-reply SLA, the next_online_utc return time, whether requests are paused, and free-trial eligibility. It also explicitly hands off price/payment to get_terms and existing requests to get_reply, so it is clearly separable from its siblings.

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

Usage Guidelines5/5

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

It gives a concrete trigger: 'call it right before paying and submitting, so you don't pay while requests are paused.' It also names both relevant alternatives with the condition that selects each (get_terms for price/payment mechanics, get_reply for a request already sent).

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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