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get_trial_status

Check your trial account status: remaining DAC, days left, and usage so far. Trial gives you 500 DAC for 30 days to explore freely.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auth_tokenNoYour DA agent auth token. Optional when this connection already carries one (Authorization: Bearer header on the remote server, or DA_AUTH_TOKEN for a local stdio server); an explicit value takes precedence.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / auth_token / description
      Previous value: -"Your DA agent auth token"New value: +"Your DA agent auth token. Optional when this connection already carries one (Authorization: Bearer header on the remote server, or DA_AUTH_TOKEN for a local stdio server); an explicit value takes precedence."
    • removedInput schema / required
      Removed value: -[
      -  "auth_token"
      -]
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. 'Check' implies a read-only operation)Skip; but there is no explicit statement that it has no side effects, no mention of authentication behavior beyond the schema, and no description of edge cases such as an expired or inactive trial. The 500 DAC / 30 days context is useful plan information but not deep behavioral transparency.

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

Conciseness5/5

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

Two short sentences, front-loaded with the core purpose, followed by relevant trial-plan context. No filler, no repetition of schema facts, and every clause contributes to understanding the 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?

For a simple parameterless status tool, the description is largely complete: it states what information is returned and explains the trial allowances. There is no output schema, so the description appropriately sketches the return content. It does not mention what happens when a trial is expired or not yet active, but that is a moderate gap rather than a blocking one.

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

Parameters3/5

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

The schema has 100% description coverage for the single optional auth_token parameter, and the description adds no extra meaning to it. This aligns with the baseline of 3 for cases where the schema already documents parameters adequately.

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?

The description uses a specific verb ('Check') with a specific resource ('your trial account status') and enumerates what that includes: remaining DAC, days left, and usage so far. It is clearly distinguished from siblings like get_dac_balance or get_ise_status by the word 'trial', though it does not explicitly name or contrast any sibling.

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 description implies when to use it: whenever the agent needs to check trial account status. However, it provides no explicit guidance on when not to use it or how to choose among nearby alternatives such as get_dac_balance, get_ise_status, or run_sdac_trial. This leaves usage context implicit rather than stated.

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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