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List variations

list_variations
Read-only

Lists variations belonging to one owned job.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "jobId": "<jobId>"
    },
    "name": "list_variations"
  }
}

Input Schema

NameRequiredDescriptionDefault
jobIdYes

Output Schema

NameRequiredDescriptionDefault
okYes
dataNo
errorNo
warningsYes
provenanceNo
assumptionsYes
nextActionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description's only added behavioral detail is the 'owned job' scope, which implies an ownership/permission constraint; it says nothing about ordering, pagination, or empty results.

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?

One sentence with zero filler, and the scope constraint is front-loaded. It is arguably over-terse for a tool whose only parameter is undocumented in the schema, but nothing is wasted.

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

Completeness3/5

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

An output schema exists, so return values need no explanation, and the tool is a simple single-parameter read. Still, for the one undocumented parameter the description should say where jobId comes from (e.g. list_jobs or get_job) and whether results are ordered or empty-safe.

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 coverage is 0 percent for the single jobId parameter, so the description must carry meaning and it does partially: it tells the agent the id identifies the owned job whose variations are returned. It adds no format, sourcing, or error semantics beyond that.

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 gives a specific verb (Lists) and resource (variations) plus a scoping constraint (belonging to one owned job). It does not name or contrast with any sibling, but the 'list' verb separates it naturally from create_variation_draft, send_variation and prepare_variation_send.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no prerequisites, and no named alternative. The only implied condition is that the job must be 'owned', which is a hint about access but not usage routing.

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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