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by sciple-idp

update_cell

Update a runbook cell's content or execution target by specifying runbook and cell IDs. Change only provided fields to adjust code or target type.

Instructions

Update cell content or execution target. Only provided fields change.

Args: runbook_id: The parent runbook id. cell_id: The cell id to update. content: New cell content (leave None to keep current). target_type: New target type — 'k8s', 'ecs', 'ec2', or None. target_config: JSON string with new target config, or None to keep current.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cell_idYes
contentNo
runbook_idYes
target_typeNo
target_configNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses partial-update behavior and that None means "keep current" for content and target_config, but it does not mention overwrite side effects, permissions, or other mutation consequences.

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 concise sentences plus a compact Args list. The key partial-update behavior is front-loaded, and every line adds useful information without repetition or 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?

The description covers all parameters and the core update behavior, and the output schema makes return-value documentation unnecessary. However, target_type's "or None" is ambiguous about whether None clears the target or keeps it current, unlike the explicit notes for content and target_config.

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

Parameters5/5

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

Schema description coverage is 0%, so the Args list is essential and fully compensates. Every parameter gets a meaningful explanation, including the allowed target_type values and the keep-current semantics for optional fields.

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?

Description opens with a specific verb and resource: "Update cell content or execution target." This clearly distinguishes update_cell from siblings like add_cell, delete_cell, and reorder_cells, and the phrase "Only provided fields change" adds precise partial-update semantics.

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?

The description implies usage on an existing cell but never explicitly states when to choose update_cell over add_cell, delete_cell, or reorder_cells. It provides no alternatives or exclusion conditions, leaving the agent to infer the intended context from the tool name.

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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