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List edit ops

list_ops
Read-onlyIdempotent

The unified op vocabulary of a Vixdeo project conversation (creation, transition, edition) — the same grammar the human director uses by chat. Returns each op's name, lifecycle phase, a one-line summary and the tool that runs it (invocableVia), the edition ops' parameter schema, and visualTypes: the visual sources a scene can use (the visual_type of set_visual), with relative cost. compact=true leaves out the parameter schema and the notes; locale selects the language of the readable strings (default en; es adds the Spanish mirrors). $0.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phaseNoOptional: only ops of this lifecycle phase.
localeNoLanguage of the readable strings. Default `en` (English only); `es` adds the Spanish mirrors (`nameEs`, `toneSignatureEs`, `summaryEs`).
compactNoDefault false. True omits the heavy, rarely needed parts (parameter schemas, curves, measures, notes) and keeps ids, names and one-line meanings.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description adds real behavioral context: exactly what is returned, what `compact` prunes (parameter schemas and notes), what `locale` changes, and the cost hint "$0". It stops short of describing ordering/pagination, but for a read-only listing tool this is solid added value.

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?

Dense but front-loaded: the core resource is named first, then return contents, then parameter behaviors. Some parenthetical nesting and backtick-heavy phrasing add friction, but nearly every clause conveys a distinct fact and nothing is redundant filler.

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?

With no output schema, the description correctly carries the burden of describing the return payload, enumerating the fields an agent will receive, including the `invocableVia` mapping that ties ops to callable tools. Completeness is good; only the absence of ordering/pagination and of an explicit hand-off to run_op keeps it from a 5.

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?

Schema coverage is 100%, so the baseline is 3, but the description goes further than the schema by explaining the practical effect of `compact` (drops heavy, rarely-needed parts while keeping ids, names, one-line meanings) and clarifying the `locale` default and Spanish mirror fields.

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 states a specific resource and scope: the unified op vocabulary of a project conversation (creation, transition, edition), and enumerates the return fields (name, lifecycle phase, summary, invocableVia, parameter schema, visualTypes). It is clearly distinct from mutating siblings like run_op/author_op, though it never names those siblings to make the contrast explicit.

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?

Usage is implied (discover the op grammar and which tool runs each op) but there is no explicit when-to-use or when-not-to-use statement, nor any routing to siblings such as run_op. The only conditional guidance is about `compact`, which is a parameter concern rather than a tool-selection one.

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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