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slack_catch_me_up

Read-only

Run a structured catch-up using a saved workflow profile to get actionable summaries for support, incidents, executives, product launches, or custom workflows.

Instructions

Run a structured catch-up against a saved workflow profile. Returns structured JSON per the profile's workflow_kind: support_inbox returns {open_threads, ack_lag, owner_gaps, escalations, next_actions}; incident_room returns {incident_summary, timeline, open_risks, owner_gaps, next_actions}; exec_brief returns {summary, decisions, risks, asks, action_items}; product_launch_watch returns {launch_signals, feedback_themes, blockers, metrics, next_actions}; custom returns {summary, highlights, open_questions, next_actions}. Hosted-only. Free tier ships 25 AI tool calls/month (shared across the hosted AI tools); Pro $19/mo unlocks unlimited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoOptional ISO8601 timestamp — only consider Slack messages newer than this. Default: 24 hours ago for daily-cadence profiles, 7 days for weekly.
profile_nameYesName of a workflow profile saved via slack_workflow_save (or use --apply-template at install time to seed one)
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description discloses additional behavioral traits such as 'Hosted-only' and free tier call limits, which go beyond annotations.

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 front-loaded with purpose, but the enumeration of return structures is lengthy. It is generally concise with three sentences, each earning its place.

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?

Without an output schema, the description compensates by detailing return structures for all workflow types. It also mentions tier limits, though lacks error handling or prerequisites.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% but the description adds value by explaining default behavior for 'since' and linking 'profile_name' to slack_workflow_save.

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 clearly states the tool 'runs a structured catch-up against a saved workflow profile' and lists return structures per workflow_kind. This differentiates it from sibling tools like slack_workflow_save or slack_workflows.

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?

It implies usage for catch-up and clarifies hosting and tier limits, but does not explicitly mention when to use this tool versus alternatives like slack_search_messages or slack_triage.

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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