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syncpen_suggest_edit

Propose a document edit as a pending suggestion requiring human approval. Anchor changes by character offsets or a unique text snippet for replacement.

Instructions

Propose an edit to a document as a pending suggestion that a human accepts or rejects in the editor. The document is NOT changed until accepted. Use this instead of syncpen_update when you want human approval. Anchor the edit either by character offsets {from,to} or by a unique snippet {text} to replace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional rationale shown to the human alongside the suggestion.
anchorYesWhere to apply the edit. Provide EITHER {from,to} character offsets, OR {text} — a snippet that occurs exactly once in the document and will be replaced.
newTextYesThe replacement text for the anchored range.
documentIdYesThe ID of the document to suggest an edit on
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the document is NOT changed until accepted, and describes two anchoring methods. However, it doesn't detail potential failures (e.g., non-unique snippet) or other side effects.

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 a single, well-structured paragraph of four sentences, front-loaded with the main purpose, and every sentence adds necessary information without redundancy.

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?

Given the tool's complexity (nested anchor parameter, no output schema), the description covers the core behavior, anchoring options, and usage context, making it complete for an AI agent to select and invoke 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?

Schema coverage is 100%, so the schema already documents parameters well. The description adds context about human approval and anchoring alternatives, but doesn't significantly enhance individual parameter meaning beyond that.

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 proposes an edit as a pending suggestion for human approval, and explicitly contrasts with syncpen_update, making the purpose distinct from siblings.

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 says 'Use this instead of syncpen_update when you want human approval', providing clear guidance on when to use this tool versus a specific alternative.

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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