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session_boot

Initialize a new session to restore identity, workflow context, and recent status from long-term memory. Runs a health snapshot and heartbeat sign-in for continuity.

Instructions

Initialize a new demo session by loading identity, workflow context, and recent status from long-term memory. Also runs an expiry-focused health snapshot and records a heartbeat sign-in. Call this once at the start of every new conversation to restore continuity and awareness of pending work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesSource tool identifier (e.g. "warp", "cursor", "perplexity") for provenance tracking
body_nameNoOptional body/persona name (例如:大家姐、三哥、五妹、Toto)
user_nameNoOptional user/owner name for status recall (例如:Leo、Yvonne)
topicNoOptional current focus topic for heartbeat
moodNoOptional mood marker
identity_queryNoOptional override for identity recall query
workflow_queryNoOptional override for workflow recall query
status_queryNoOptional override for status recall query
recall_limitNoMaximum recall results per category (identity/workflow/status, default 5)
alert_window_hoursNoOptional override for expiry snapshot window (hours)
gap_daysNoDeprecated compatibility field; ignored by session_boot
topic_limitNoDeprecated compatibility field; ignored by session_boot
Behavior4/5

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

No annotations provided; description covers state changes (loading from memory, health snapshot, heartbeat) but could mention potential side effects like overwriting existing context.

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?

Two sentences, no wasted words. Front-loaded with core actions; usage guidance in second sentence. Highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Lacks explanation of return value/output (no output schema given). With 12 parameters, more detail on what the agent receives would improve completeness.

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 description coverage is 100% so baseline is 3. Description adds no additional parameter meaning beyond what schema already provides.

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?

Description clearly states the tool initializes a demo session, loads identity/workflow/status, runs health snapshot, and records heartbeat. It distinguishes from sibling tools like session_close and health_check.

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 to 'call this once at the start of every new conversation' to restore continuity. Provides clear context for when to use the tool.

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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