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session_context

Initialize a session in one call by combining search, intentions, status, predictions, and codebase context into a single token-budgeted response, replacing five separate calls.

Instructions

One-call session initialization. Combines search, intentions, status, predictions, and codebase context into a single token-budgeted response. Replaces 5 separate calls at session start.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoCurrent context for intention matching and predictions
queriesNoSearch queries to run (default: ["user preferences"])
token_budgetNoMax tokens for response (default: 1000). Server truncates content to fit budget. With 1M context models, budgets up to 100K are practical.
include_statusNoInclude system health info (default: true)
include_intentionsNoInclude triggered intentions (default: true)
include_predictionsNoInclude memory predictions (default: true)
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses token-budgeted response and truncation behavior. Does not explicitly state read-only or destructive nature, but 'initialization' implies non-destructive read.

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?

Extremely concise (two short sentences), front-loaded with key purpose, no wasted words.

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 no output schema, description adequately outlines returned data (search, intentions, etc.). Could mention format or structure, but sufficient for initialization context.

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%; description adds no per-parameter details beyond what schema already provides. Baseline 3 is appropriate.

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 uses specific verb 'session initialization' and lists what it combines (search, intentions, status, predictions, codebase context), clearly distinguishing it from siblings by stating it replaces 5 separate calls.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states 'at session start' and notes it replaces separate calls, providing clear context for use. No explicit when-not-to-use, but the implication is strong.

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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