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Python
Remote

get_report

Read-onlyIdempotent

Retrieve the generation status and PDF/CSV download URLs for a report. Poll after triggering a report to confirm completion before fetching the file.

Instructions

[READ] Get status and download URLs for a generated report.

Returns id, name (the report's title, fetched from its definition — null if that definition is gone; this endpoint carries no title of its own), description (the definition's explanatory blurb, which is NOT the title), status (PENDING, RUNNING, COMPLETED, FAILED), definition_id, completion_time (the appliance's own rendering, e.g. "Sun Aug 30 04:40:08 UTC 2026"), completion_time_ms (epoch ms, or null when the appliance sent a date string), download_url (PDF) and csv_url. Use this to poll after generate_report. The URLs are always constructed, so a download_url is present even while the report is still PENDING — check status before fetching it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoAria target name from config; default when omitted.
report_idYesThe report UUID (from generate_report or list_reports).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.10.0
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / report_id / description
      Added value: +"The report UUID (from generate_report or list_reports)."
    • addedInput schema / properties / target / description
      Added value: +"Aria target name from config; default when omitted."
  2. Addedv1.5.29
  3. Removedv1.5.28
  4. Addedv1.5.18

TDQS

A4.4/5.0
Behavior5/5

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

With annotations already declaring readOnly, idempotent, and non-destructive behavior, the description adds significant behavioral context: URLs are always constructed even when PENDING, download_url must be gated on status, completion_time has appliance-specific formatting, and title/description depend on the report definition. This goes well beyond the annotations.

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 description is front-loaded with the core purpose and then enumerates return fields and edge cases. It is somewhat long but every sentence carries useful operational detail, so the length is justified.

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?

There is no output schema, so the description carries the full burden of explaining return values. It exhaustively lists fields, statuses, null cases, time formats, and the key caveat about URLs being present before completion. Nothing an agent needs to call this correctly is missing.

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?

Schema description coverage is 100%, so the schema already documents both parameters. The description reinforces that report_id comes from generate_report or list_reports, but adds little beyond the schema. Baseline 3 is appropriate.

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 opens with a specific verb+resource: 'Get status and download URLs for a generated report.' It clearly identifies the tool's subject (reports) and its outcome (status and URLs), and the detailed return-field list distinguishes it from related siblings like generate_report and list_reports.

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?

The description explicitly says 'Use this to poll after generate_report', giving a clear usage context. It does not explicitly name alternatives to avoid, but the polling role and the mention that report_id comes from generate_report or list_reports sufficiently guide selection.

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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