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delimit_context_snapshot

Capture a point-in-time snapshot of your AI coding context to preserve state for review, diff analysis, or rollback.

Instructions

Create a point-in-time snapshot of the entire context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ventureYes
labelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only states the creation of a snapshot, but does not explain side effects, permissions needed, or whether the snapshot is stored or returned. This is insufficient for safe invocation.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it omits critical details such as parameters and usage context. It is not a model of effective conciseness as it sacrifices completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has two parameters, no annotations, and an output schema not described, the description is incomplete. It fails to inform the agent about the return value or when to use this tool among many siblings.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description does not mention or explain any parameters (venture, label). The agent has no insight into what these parameters mean, leading to likely misuse.

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 identifies the action ('Create') and the resource ('point-in-time snapshot of the entire context'). It is specific enough to distinguish from sibling context tools like delimit_context_branch or delimit_context_read.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. With many context-related siblings, the agent lacks context for selection.

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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