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handoff_save

Save conversation context for transfer between AI chats or projects using structured templates or verbatim formats to preserve decision rationale and implementation details.

Instructions

Save a conversation handoff for later retrieval. Use this to pass conversation context to another AI or project.

Format Selection

  • structured (default): Organize content using the template below. Much faster — reduces output tokens to ~5-20% of the original conversation. Best for most handoffs.

  • verbatim: Save the complete word-for-word conversation. Use only when exact wording matters (e.g., legal text, precise error messages).

Structured Template (for format="structured")

## Key Decisions
- [Decision]: [Rationale]

## Implementation Details
[What was built/changed, with relevant code snippets]

## Code Changes
[Files modified with brief description]

## Open Issues
- [Issue]: [Status/Context]

## Next Steps
- [ ] Action item

Omit sections that don't apply. Add custom sections if needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoUnique identifier for this handoff (e.g., 'project-design-2024'). Auto-generated if omitted.
titleNoHuman-readable title for the handoff. Auto-generated from summary if omitted.
formatNoOutput format. 'structured' (default): organized template - faster. 'verbatim': complete word-for-word conversation.structured
summaryYesBrief summary of the conversation context (2-3 sentences)
conversationYesThe conversation content. For format='structured': use the structured template above. For format='verbatim': the COMPLETE verbatim conversation in Markdown format (## User / ## Assistant) — NEVER summarize or shorten messages.
from_aiNoName of the source AI (e.g., 'claude', 'chatgpt')claude
from_projectNoName of the source project (optional)
Behavior3/5

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

With no annotations provided, the description carries full burden. It explains the tool's behavior regarding format selection and template usage, but doesn't disclose other behavioral traits like whether saves are permanent, if they overwrite existing handoffs, authentication requirements, or rate limits. The description adds useful context about format trade-offs but leaves other aspects unspecified.

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 appropriately sized and well-structured with clear sections. The purpose is stated upfront, followed by format guidance and template details. While comprehensive, some template details could be considered overly verbose for a tool description, though they're relevant to usage.

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?

Given 7 parameters with 100% schema coverage but no annotations or output schema, the description provides good contextual completeness. It explains the tool's purpose, format options, and usage guidelines thoroughly. However, it doesn't describe what happens after saving (e.g., confirmation message, error conditions) or how saved handoffs integrate with sibling tools.

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 description coverage is 100%, so the baseline is 3. The description adds meaningful context beyond the schema: it explains the rationale behind format choices ('Much faster — reduces output tokens to ~5-20%'), provides detailed template guidance for structured format, and clarifies when to use verbatim format. This adds significant value over the schema's parameter descriptions.

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's purpose: 'Save a conversation handoff for later retrieval' with the specific goal of 'pass[ing] conversation context to another AI or project.' It distinguishes from siblings like handoff_load (retrieval) and handoff_clear (deletion) by focusing on saving/persisting data.

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?

The description provides explicit guidance on when to use each format option: 'structured' is 'default' and 'Best for most handoffs,' while 'verbatim' should be used 'only when exact wording matters (e.g., legal text, precise error messages).' It also distinguishes from siblings by focusing on saving rather than loading, clearing, or listing.

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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