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Cassette-Editor

oh-my-cassette

cassette_edit

Apply direct timeline edits like trim, text, delete, or undo to small named changes after reading the timeline, using an expected version to keep operations consistent.

Instructions

Surgical no-LLM timeline edit through the manual-editor command lane (requires CASSETTE_DIRECT_EDIT=1). Use for small named changes (trim, text, delete, undo) after reading cassette_timeline; big or creative briefs go through cassette_run_job. input is always {"payload": {...}}. Pass expected_version from the last timeline read; tool_name 'undo' with input.cursorSequence rewinds the shared operation history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNo
tool_nameYes
session_idYes
expected_versionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
errorNo
phaseYes
job_idNo
warningsNo
artifactsNo
session_idNo
next_actionYes
Behavior5/5

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

No annotations provided, but description fully discloses behavioral traits: requires CASSETTE_DIRECT_EDIT=1, uses manual-editor command lane, needs expected_version, explains undo mechanism with cursorSequence. Discloses input format.

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?

Concise 3-4 sentences with front-loaded purpose and usage. Every sentence adds value; no redundancy.

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?

Given the tool complexity and existing output schema, description covers purpose, usage, prerequisites, and parameter hints. Sufficient for correct invocation.

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 has 0% coverage, but description adds meaning: input is always {"payload": {...}}, expected_version from last timeline read, tool_name 'undo' with input.cursorSequence. Does not explicitly map each parameter but provides significant context.

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?

Clearly states it is a 'surgical no-LLM timeline edit' and distinguishes from sibling cassette_run_job for big or creative briefs. Uses specific verbs like trim, text, delete, undo.

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

Usage Guidelines5/5

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

Explicitly says 'Use for small named changes' and 'big or creative briefs go through cassette_run_job', providing alternative and context. Also advises to use after reading cassette_timeline.

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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