get_recipe_preferencesHousehold name, recipe preferences prompt (diet, allergies, dislikes, cuisines, time budget), shopping preferences prompt (brands, organic, store quirks) plus settings: plan_day, servings, grocery_store, recipes_per_week, votes_per_member.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of explaining behavior. The name implies a read-only getter and the field list hints at return content, but the description itself never states that it retrieves data without side effects or describes any other behavioral traits. This is adequate for a simple getter, but not explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and information-dense, listing all relevant categories without redundancy. It is slightly awkward as a run-on noun phrase, but every element earns its place and the most important category is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter getter with no output schema, the description adequately enumerates the returned fields: household name, recipe preferences prompt, shopping preferences prompt, and settings. It could be more complete by explicitly saying 'returns' and by noting the relationship to update_recipe_preferences, but nothing essential is missing for calling it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4. The description adds meaningful context about what the returned preference data contains, even though it does not need to document any parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the resource — recipe preferences — and enumerates its contents (household name, prompts, settings), so an agent can tell what data is involved. However, it is a noun-phrase field list rather than a sentence with an explicit verb, and it does not explicitly contrast with siblings like update_recipe_preferences.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to call this tool versus related tools such as update_recipe_preferences, get_recipe, or get_members. It provides no context for selection, no prerequisites, and no 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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Most tools target a distinct resource and action, with detailed descriptions that clarify boundaries. The main confusable pair is run_agent_chef vs next_actions, which both return the due-action checklist and operating instructions, differing only by trigger context. propose_recipes vs add_candidates are also related but clearly separated by phase (initiating a cycle vs appending during feedback).
The overwhelming majority follow a verb_noun snake_case pattern (get_, update_, set_, add_, record_, remove_), which is highly predictable. Minor deviations include next_actions being a bare noun phrase rather than get_next_actions, and favorite_recipe using 'favorite' as a verb instead of something like toggle_favorite.
At 34 tools, the surface is heavy for an agent to select from, exceeding the 25+ threshold for 'too many'. The domain is genuinely broad, but several utility and meta tools (dismiss_setup_checklist, record_schedule, get_connected_agents, get_instructions) and overlapping entry points (run_agent_chef, next_actions) inflate the count and could be consolidated without losing capability.
The full weekly lifecycle is covered end-to-end: propose, vote, feedback, add candidates, lock in, shop, order, cook, rate, and mark done. Recipe, member, ingredient, and preference management all have solid get/update/create coverage. Minor gaps include no way to delete a recipe, remove a candidate from an active ballot, or cancel a week beyond reopen_voting, but these are work-aroundable and don't create dead ends.