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loop_review

Automate company loop reviews: create a meeting with task summary, failure analysis, and next-step suggestions, then generate new to-dos from team discussion.

Instructions

Trigger a company loop review — auto-create a review meeting and generate statistics report.

The review meeting contains: summary of tasks completed this cycle, failed task analysis, and next-step suggestions. Leader and team can discuss and produce new to-do tasks in the meeting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
team_idYesTeam ID or name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description discloses that the tool auto-creates a meeting and generates a report, and lists meeting contents. However, without annotations, it does not address side effects, idempotency, permission requirements, or potential destructive actions, leaving some behavioral gaps.

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 exceptionally concise, consisting of two short sentences that front-load the core action and then elaborate on the meeting content. Every sentence adds value with no redundancy.

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 tool with one parameter and an output schema, the description adequately explains the primary outputs (meeting contents). It lacks details about the generated report and return value format, but the presence of an output schema mitigates this. The description is largely complete for its simplicity.

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 fully describes the single parameter 'team_id' with 100% coverage. The description does not add additional context or constraints beyond what the schema provides, meeting the baseline but not exceeding it.

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 that the tool triggers a loop review, auto-creates a review meeting, and generates a statistics report. It specifies the meeting's contents, distinguishing it from generic meeting creation tools like meeting_create, but does not explicitly contrast with sibling loop tools.

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 such as loop_status or meeting_create. There is no mention of prerequisites, typical use cases, or exclusions.

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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