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Ardour Ultra MCP
by Elias02345

render_and_analyze

Render a preset-based master export and analyze it locally, reporting the failure stage and preserving the exported file if analysis fails.

Instructions

Render one preset-based master file, then analyze locally; preserve export and report stage/error if analysis fails; no atomic file rollback.

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": {
      "request": "<request>"
    },
    "name": "render_and_analyze"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNo
successNo
warningsNo
revision_afterNo
changed_objectsNo
revision_beforeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already say readOnly=false, destructive=false, idempotent=false. The description adds real value beyond that: it discloses that export is preserved, stage/error are reported on analysis failure, and there is no atomic rollback. However, it does not explain the permissions required for writing to the output directory, the relationship between confirm_delete and output_directory, or what 'preserve export' means operationally. The non-atomicity caveat is the strongest disclosure here.

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

Conciseness2/5

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

It's a single run-on sentence with semicolons, heavy front-loading missing. Three ideas (render+analyze, preserve export/report failure, no rollback) are compressed until each is hard to parse. It's terse but under-structured rather than concise.

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 needn't be explained. But for a tool that writes files, has destructive-adjacent options like confirm_delete, and non-atomic failure behavior, the description leaves major operational questions open: what happens to partial output, what confirm_delete deletes, how dry_run behaves, and what the expected_revision guard does.

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

Parameters2/5

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

Schema description coverage is 0% for the single top-level request parameter, and the description adds essentially nothing about the nested fields (start/end position units, preset_id, output_directory, max_seconds, dry_run, confirm_delete, expected_revision). 'Preset-based master file' vaguely gestures at preset_id, but the many other parameters get no explanation. With low coverage, the description should compensate and doesn't.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names render and analyze as a combined operation, which is specific enough to tell it apart from render_range or analyze_audio_file alone. But it's compressed into a run-on clause with little clarity that it operates on a 'preset-based master file' – the reader has to parse 'one preset-based master file' to understand the scope. It does convey the fused nature, which matters.

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?

No explicit when-to-use versus alternatives. The mention of 'preset-based' and the implied coupling with export presets hints at conditions, but an agent isn't told when to pick this over render_range plus analyze separately, or what happens with dry_run. The failure-handling note is behavioral, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.