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get_follow_ups

Retrieve pending follow-up items ordered by due date and priority. Overdue items are highlighted for immediate attention.

Instructions

Get follow-up items that need attention.

Returns pending follow-ups ordered by due date and priority. Overdue items are highlighted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results (default: 50)
include_snoozedNoInclude snoozed follow-ups (default: False)
include_completedNoInclude completed follow-ups (default: False)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It discloses ordering behavior (due date + priority) and overdue highlighting, which is genuinely useful. However, it doesn't state whether reaching out on snoozed/completed is destructive (it's a read, so its 'returns pending' wording implies read-only, which helps). It's a read operation, so risk is low, but pagination/return format details are absent.

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 compact at two sentences, front-loaded with the purpose ('Get follow-up items that need attention') followed by behavior details. No wasted words. Could arguably be a single clear sentence, but the structure is efficient and effective.

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 read-only list tool with an output schema present, the description adequately covers the core behavior: what it returns (pending items), the ordering, and overdue emphasis. The description doesn't need to explain return values since an output schema exists. It's complete enough for a straightforward filtered-list tool, though it could mention when to prefer this over the overdue or person-scoped variants.

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 all three parameters are documented in the schema itself. The description adds no new parameter-level meaning beyond what the schema already provides (limit, include_snoozed, include_completed all have defaults and descriptions). Baseline 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.

Purpose4/5

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

The description clearly states this tool gets follow-up items needing attention, with specific verbs ('Get', 'Returns') and resource ('follow-up items'). It distinguishes from siblings like get_overdue_follow_ups (specific to overdue) and get_follow_ups_with_person (person-scoped) by being the general pending-list version, though it doesn't explicitly name differences.

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

Usage Guidelines3/5

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

The description implies this is the general 'get all pending follow-ups' tool by being unspecific about filters, and the schema clarifies what optional filters exist (limit, snoozed, completed). However, it doesn't explicitly contrast with get_overdue_follow_ups or search_follow_ups, which are closely related siblings an agent might confuse it with.

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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