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Redseb
by Redseb

update_common_event

Update common event properties like name, trigger, switch ID, or command list. Validation rejects invalid command lists unless overridden, with dry-run preview of changes.

Instructions

Update a common event's properties (shallow merge into the existing record). Use for name, trigger, switchId, or to replace the whole command list. A structurally invalid command list refuses the write (nothing is saved) — pass force: true to override.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNoWrite even if validation finds structural problems (wrong parameter count, unterminated command list). Off by default: such a write is refused and nothing is written. Advisory warnings never block regardless.
dryRunNoPreview only: return a diff of what would change without writing to disk.
updatesYesObject containing common event properties to update (name, trigger, switchId, list)
verboseNoEcho the full written record instead of the default summary. Off by default: the response reports identity, counts and command-list shape, which is what you would assert on, and omits the parameters/conditions you would only re-read. Read the full record with the matching get_* tool.
commonEventIdYesThe ID of the common event to update
Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It discloses the shallow-merge behavior, refusal on invalid command lists, and the force override. This is useful behavioral context beyond the plain 'update' semantics, though it doesn't describe return values.

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?

Two sentences, front-loaded with the core verb and resource, then concise details on merge behavior and validation override. Every sentence adds value with zero waste.

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?

The description covers the essential behavioral quirks (merge, validation, force) but omits return semantics like summary vs verbose output. However, dryRun and verbose are explained in the parameter schema, so the description is sufficiently complete for the tool's complexity.

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 baseline is 3. The description adds context about shallow merging and which fields to use, but the individual parameters are already well-documented in the schema. No additional parameter-specific meaning is needed.

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 clearly states the tool updates a common event's properties via shallow merge, naming specific fields (name, trigger, switchId, command list). This distinguishes it from siblings like create_common_event or call_common_event.

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?

It gives concrete use cases ('Use for name, trigger, switchId, or to replace the whole command list') which imply when to choose this tool, though it doesn't explicitly mention alternatives or state when not to use it. Clear context but lacks explicit exclusions.

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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