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Resume context

mindmap_resume

Resume saved context by matching a topic to prior memories, then inject the summary into the current session to avoid re-explaining past work.

Instructions

Find the best-matching saved context for a topic and return its summary to inject into the current (new) session — so you don't lose context across tools. This is the 'promote-on-reuse' moment: resuming a captured memory promotes it to a trusted (hot) memory and bumps its freshness. After reading, if anything is stale, call mindmap_update to trim it.

CALL THIS PROACTIVELY (you don't need to be asked) at the START of a session when the user references prior work — e.g. "let's continue", "pick up where we left off", "the X project", or any topic that sounds like it may have history. Resuming first means you start with their real context instead of asking them to re-explain.

Args:

  • query (string): topic or keywords describing what you were working on

  • source (string): only resume memories from this origin tool (optional)

Returns: the matched thread's full context plus a freshness nudge, or near-misses if nothing strong matched.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesTopic / keywords to resume
sourceNoRestrict to this origin tool
Behavior4/5

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

Beyond annotations, describes side effects: promotes memory to hot, bumps freshness. No contradiction with annotations. But lacks details on permissions or limits.

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?

Well-structured with clear sections, but slightly verbose. Front-loaded with main purpose, every sentence earns its place.

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?

No output schema, but description explains return value (matched thread context + freshness nudge, or near-misses). Sufficient for the tool's complexity.

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 baseline is 3. Description adds 'topic or keywords' for query and 'restrict to this origin tool' for source, but does not add much beyond schema.

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?

Clearly states it finds best-matching saved context and returns a summary, distinguishing from siblings like mindmap_update and emphasizing the 'promote-on-reuse' moment.

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 tells when to call proactively (start of session, user references prior work) and provides examples. Also advises to call mindmap_update if stale.

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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