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manage_session

Approve coding plans or send feedback for active Jules AI coding sessions to control autonomous development workflows.

Instructions

Manage an active Jules session: approve plans or send feedback

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesSession ID
actionYesAction to perform
messageNoMessage (required for send_message)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions actions ('approve plans or send feedback') but lacks behavioral details such as permission requirements, side effects (e.g., does approval finalize plans?), response format, or error conditions. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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?

The description is a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be slightly more structured (e.g., separating actions). Every part earns its place by specifying the resource and actions.

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 tool's complexity (mutation with 3 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like what happens after approval, error handling, or return values. For a tool that modifies sessions, more context is needed to ensure safe and correct usage.

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 the schema fully documents parameters (session_id, action, message). The description adds no parameter-specific semantics beyond implying 'message' is used for 'send_message'. Baseline is 3 since the schema does the heavy lifting, but the description doesn't compensate with additional context like format examples or constraints.

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 verb ('manage') and resource ('active Jules session'), with specific actions listed ('approve plans or send feedback'). It distinguishes from siblings like 'get_session_status' (read-only) and 'delete_schedule' (different resource), though it doesn't explicitly contrast them. The purpose is specific but could be more precise about what 'manage' entails beyond the two actions.

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. It doesn't mention prerequisites (e.g., needing an active session), exclusions (e.g., not for creating sessions), or comparisons to siblings like 'get_session_status' for checking status. Usage is implied by the actions but lacks explicit context or decision criteria.

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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