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_delimit_context_impl

Operate on context artifacts: initialize, read, write, list, snapshot, or branch context files to maintain continuity across AI sessions.

Instructions

Manage context filesystem for cross-model continuity.

Actions: init, read, write, list, snapshot, branch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoWhich context operation to perform.list
ventureNoVenture/project namespace (default: "default").default
nameNoArtifact name (for read/write).
contentNoArtifact content (for action='write').
artifact_typeNoType hint text/json/code/plan (for action='write').text
labelNoSnapshot label (for action='snapshot').
branch_actionNoBranch sub-action create/merge/list (for action='branch').list
branch_nameNoBranch name (for action='branch' with create/merge).

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 cover behavioral traits. It merely lists actions without specifying whether they are safe (read-only) or destructive, what side effects occur, or any prerequisites. The agent gains minimal insight into how the tool behaves beyond the action list.

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?

The description is two sentences long and efficiently communicates the core function and available actions. However, it is somewhat terse and could benefit from a brief usage example or clarification of the tool's role relative to siblings, which would improve usability without much bloat.

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 complexity of a multi-action tool with 8 parameters and a large set of sibling tools, the description is too brief. It lacks critical details such as return value structure (despite an output schema), error conditions, or when to use this _impl variant over the specialized tools. The agent is underinformed to use it correctly.

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?

Input schema coverage is 100%, and each parameter has a description. The tool description adds nothing beyond listing the action names; it does not clarify parameter interdependencies or how parameters apply to specific actions. The schema already carries the semantic burden, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Manage context filesystem for cross-model continuity' and lists actions, but it does not differentiate this _impl tool from the many specific sibling tools like delimit_context_init, delimit_context_read, etc. The purpose is vague and overly broad given the context of separate action-specific tools.

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?

No guidance is provided on when to use this unified tool versus the individual sibling tools (e.g., delimit_context_init, delimit_context_write). The agent is left to infer that it may be a low-level implementation, but the description offers no such hint or alternative recommendations.

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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