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List Campaigns (Picker)

list_campaigns_picker
Read-onlyIdempotent

List campaigns with minimal fields for selection. Filter by group or name, include archived, then get full campaign details after choosing.

Instructions

Slim per-row campaign list for selection UIs — id, name, group_id, is_archived. Cheaper than list_campaigns for orgs with thousands of campaigns. Use get_campaign(id) after a selection to fetch full details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
archivedNoPass true to include archived campaigns. Defaults to active-only.
group_idNoFilter to one campaign group.
qNoSubstring search against campaign name (case-insensitive).
limitNoMaximum rows to return (default per API, typically 200).
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds value by stating the fields returned ('id, name, group_id, is_archived') and performance characteristic ('cheaper'), which are beyond annotation scope. No contradictions.

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?

Three concise sentences: purpose+fields, comparison to sibling, and follow-up action. No wasted words, perfectly front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only filtered list tool with well-described parameters and rich annotations, the description fully covers what the agent needs: purpose, fields returned, performance, and next steps. No gaps.

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%, with all parameters having clear descriptions (q, limit, archived, group_id). The description does not add extra meaning beyond the schema, so baseline score of 3 is appropriate.

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?

Description explicitly states the verb ('list'), resource ('campaigns'), and specificity ('slim per-row campaign list for selection UIs'). It distinguishes from sibling `list_campaigns` by highlighting it's cheaper for large orgs, making the purpose unmistakable.

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

Usage Guidelines5/5

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

Provides clear context on when to use ('for selection UIs', 'Cheaper than list_campaigns for orgs with thousands of campaigns') and what to do after ('Use get_campaign(id) after a selection to fetch full details'), giving explicit usage guidance.

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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