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jules_get_latest_activity

Retrieve recent activity from a Jules AI coding session to track progress and manage automated code changes.

Instructions

Gets the most recent activity from a Jules session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdYesSession ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves data ('Gets'), implying a read-only operation, but does not specify if it requires authentication, has rate limits, returns structured data, or handles errors. This leaves significant gaps in understanding the tool's behavior.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy for an AI agent to parse quickly.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It does not explain what 'most recent activity' entails (e.g., type of data, format) or how the tool behaves in edge cases, which is insufficient for a tool that retrieves session-specific data without structured output documentation.

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?

The input schema has 100% description coverage, with 'sessionId' clearly documented as 'Session ID'. The description does not add any additional meaning beyond this, such as format examples or constraints, so it meets the baseline for adequate but not enhanced parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Gets') and resource ('most recent activity from a Jules session'), making it understandable. However, it does not explicitly distinguish this tool from its sibling 'jules_list_activities', which might also retrieve activities, leaving some ambiguity about when to use one over the other.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'jules_list_activities' or 'get_session_state'. It lacks context about prerequisites, such as needing an active session, or exclusions, which could lead to misuse by an AI agent.

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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