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present_find_gift

Discover 5 tailored gift ideas by providing recipient details, relationship, occasion, and preferences. The tool uses context like budget and constraints to generate personalized suggestions.

Instructions

Find 5 personalized gifts through the hosted Present Agent API. Optional local Claude/Codex context search is opt-in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
needsNoFunctional needs, wishes, or outcomes the gift should support
budgetNoBudget: '$50-100', 'under $75', '$150 CAD', etc.
occasionNoOccasion: birthday, anniversary, thank you, onboarding, housewarming, etc.
interestsNoComma-separated interests, hobbies, brands, or taste signals
recipientYesRecipient's name or short description
constraintsNoHard constraints: avoid categories, delivery deadline, allergies, space, values
preferencesNoKnown likes, style, taste, brands, hobbies, or profile clues
relationshipNoRelationship: partner, parent, friend, colleague, client, etc.
giver_contextNoHost AI memory/context about the giver: preferences, budget norms, accessibility needs, taboos, prior gifts, and personal taste. Empty if unknown; never fabricate.
useAgentContextNoOpt in to local Claude/Codex/Gemini context search. Also requires PRESENT_ENABLE_LOCAL_AGENT_CONTEXT=1.
recipient_contextNoHost AI memory/context about the recipient beyond name/relation/occasion: life events, hobbies, prior gift outcomes, and recent notes. Empty if unknown; never fabricate.
Behavior3/5

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

No annotations provided, so the description carries the full burden. It mentions calling an external API and opt-in local search, but does not disclose data handling, rate limits, or any potential side effects. Partially transparent but incomplete.

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?

Two concise, front-loaded sentences. Every word adds value with no redundancy. Efficiently communicates core purpose and key behavioral note.

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

Completeness3/5

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

Given 11 parameters, full schema coverage, no output schema or annotations, the description is adequate but lacks details on return format or external API behavior. It meets the minimum viability but leaves gaps for an AI agent.

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 all parameters. The description adds no extra meaning beyond mentioning the opt-in context search, which is already covered in the useAgentContext parameter description. Baseline score applies.

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?

Clearly states the verb 'Find' and resource 'personalized gifts' with a specific count of 5. Distinguishes from sibling tool 'present_beta_start' by being the actual search/retrieval tool.

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 usage for gift finding and notes that local context search is opt-in, but does not explicitly state when to use this tool versus the sibling or when not to use it. Lacks clear when/when-not 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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