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smcdonnell7

Meeting Chief Lite

by smcdonnell7

status

Check system health, sync status, and manage operations for Meeting Chief Lite. Monitor sync from Otter.ai, view database statistics, and process pending jobs to maintain meeting transcript synchronization.

Instructions

System health, sync status, and management operations. Use health to check system state, sync to see last sync info, stats for database statistics, generate_embeddings to process pending jobs, run_sync to sync from Otter.ai.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationYesOperation to perform
sync_daysNoDays of history to sync (default: 90)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions operations but doesn't clarify whether these are read-only or mutating operations (e.g., 'generate_embeddings' and 'run_sync' sound like mutating operations). No information about permissions, side effects, rate limits, or what happens when operations fail is provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise but could be better structured. It starts with a vague phrase 'System health, sync status, and management operations' then lists operations. The information is front-loaded but the initial phrase doesn't clearly communicate the tool's purpose. Some sentences could be more efficiently worded.

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?

For a tool with 5 distinct operations (some potentially mutating), no annotations, and no output schema, the description is insufficient. It doesn't explain what each operation returns, what 'sync from Otter.ai' entails, what 'pending jobs' means for generate_embeddings, or any error conditions. The description leaves too many behavioral questions unanswered.

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 already documents both parameters thoroughly. The description doesn't add meaningful parameter semantics beyond what's in the schema - it lists operation names but doesn't explain them further. The baseline of 3 is appropriate when the schema does the heavy lifting.

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

Purpose3/5

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

The description lists multiple operations (health, sync, stats, generate_embeddings, run_sync) but doesn't clearly state a unified purpose. It reads more like a menu of options rather than a coherent tool purpose. While it distinguishes from sibling tools 'meetings' and 'search' by focusing on system operations, it lacks a clear overarching verb+resource statement.

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?

The description provides explicit guidance on when to use each operation: 'Use health to check system state, sync to see last sync info, stats for database statistics, generate_embeddings to process pending jobs, run_sync to sync from Otter.ai.' This gives clear context for each option, though it doesn't explicitly state when NOT to use this tool versus alternatives.

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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