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Create Checkpoint

create_checkpoint

Create a NAMED checkpoint — a labeled restore point the user sees in the project's Checkpoints panel and can revert to later. All file/dependency changes since the previous checkpoint are grouped under it. Call this AFTER completing a coherent unit of work (a feature, a fix, a requested change set) — not after every file write. Give it a short user-meaningful title describing what was accomplished (e.g. 'Added login page with email auth'), optionally a description with detail. No-op when nothing changed since the last checkpoint. Restoring a checkpoint reverts code and project config only — database rows, uploaded assets and published deployments are not rolled back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
projectIdYes
descriptionNo

TDQS

A4.9/5.0
Behavior5/5

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

Annotations only convey readOnlyHint=false and destructiveHint=false, but the description adds substantial behavioral context: it groups file/dependency changes, no-ops when nothing changed, and clarifies the restore scope (code/config only, not DB/assets/deployments). This goes well beyond the annotations' minimal mutation hints.

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?

The description is front-loaded with the primary purpose and key constraints, then expands on timing, no-op behavior, and restore scope. Every sentence adds valuable information without redundancy. It is appropriately sized for a tool with 3 parameters and no output schema.

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?

The description covers what the tool does, when to use it, parameter semantics, behavioral edge cases (no-op, restore scope), and even provides a title example. No output schema exists, so explaining the return value is not required. There is no missing information an agent would need to call it correctly.

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 coverage is 0%, but the description compensates by explaining the title parameter ('short user-meaningful title describing what was accomplished') and description (optional detail). The required projectId is only implied through 'the project's Checkpoints panel,' not explicitly defined. Given that two of three params are meaningfully described and projectId is self-evident, this is a solid score.

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 states a specific verb ('Create') and resource ('a NAMED checkpoint — a labeled restore point'), and clearly distinguishes it from sibling file-operation tools by framing it as a checkpoint for grouping changes. It also specifies the user-facing panel, leaving no ambiguity about what the tool does.

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 instructs when to call: 'AFTER completing a coherent unit of work (a feature, a fix, a requested change set) — not after every file write.' It also gives a no-op condition and implies that other tools handle the actual file changes. This is strong usage guidance with a clear positive and negative directive.

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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TDQS

A3.6/5.0
Disambiguation4/5

Tools are mostly distinct, but there is some overlap among file-modifying tools (edit_file, write_file, apply_patch) and between run_code_in_vm and run_code_in_browser. Detailed descriptions and clearly scoped use cases help agents select correctly.

Naming Consistency4/5

Most tools follow a verb_noun snake_case pattern (create_project, list_files, execute_sql), but a few deviate (apply_patch, card_upload_asset, run_code_in_vm). Overall readable and predictable, with only minor inconsistencies.

Tool Count2/5

With 46 tools, the server exceeds the typical well-scoped range and approaches the extreme threshold. While the broad scope of a full development platform justifies many tools, this count may overwhelm agents and increase misselection risk.

Completeness4/5

The tool surface covers the full development lifecycle: project creation, file operations, database management, resource provisioning, deployment, testing, and debugging. Minor gaps exist (e.g., no delete_project or checkpoint management), but core workflows are well-supported.

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