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Start Session

session_start

Resume an AI session with saved project memory, restoring context and insights to maintain continuity across conversations.

Instructions

[ENTRY — call FIRST, before acting] Use when the user asks to start, load, continue, resume, or open memory for a project. Set mode='lite' for a ≤500-token briefing (good for fresh conversations where the agent will pull memory on demand via recall()).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo'lite' = ≤500-token sketch; agent must pull on demand. 'full' = current rich payload.full
contextNoOptional context for matching cross-project insights
projectNoauto
verboseNoSet true to get full JSON context instead of terse summary
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It reveals that the tool is an entry point and explains lite mode's ≤500-token briefing behavior, but it does not state what 'full' actually returns beyond schema hints, nor any side effects like session state resets. Some context is added, but gaps remain.

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, dense paragraph with the critical instruction front-loaded in brackets. Every clause earns its place: entry order, trigger phrases, and lite mode trade-off. No fluff or repetition of schema fields.

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?

For a session-start tool with no output schema, the description covers the essential context: when to call, what it does, and mode behavior. It lacks explicit mention of return value or project auto-selection, but the schema covers those parameters, and the lite/full distinction implies the output payload. Good enough for a tool with four optional params and no nested objects.

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?

Despite 75% schema description coverage, the description adds significant semantic value by explaining when to choose mode='lite' and tying it to recall(). The context and verbose parameters are left to the schema, but the mode guidance elevates the description above the baseline schema detail.

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 opens with '[ENTRY — call FIRST, before acting]', clearly identifying the tool as the session initialization entry point. It specifies exact user intents ('start, load, continue, resume, or open memory') and distinguishes it from siblings like recall and remember.

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 FIRST before acting, defines when to use it (user asks to start/load/continue/resume/open memory), and provides a concrete use case for mode='lite' in fresh conversations, even referencing recall() as an alternative for on-demand memory retrieval.

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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