Get favorite recipes
get_favorite_recipesRecipes marked as household favorites, with ratings. Good candidates to re-propose by recipe_id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_favorite_recipesRecipes marked as household favorites, with ratings. Good candidates to re-propose by recipe_id.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior on its own. It communicates the output content (favorites, ratings) and indirectly signals a read-only operation, but does not mention ordering, empty results, permissions, or side effects. This is adequate but thin.
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?
Two short, front-loaded phrases: the first gives the resource and data, the second gives the purpose. There is no filler or repetition.
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 this is mostly sufficient: the description states what is returned and why it is useful. However, with no output schema it does not specify the return structure (list vs object, exact fields), so an agent must infer the response shape. It also omits ordering or empty-response conventions.
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?
There are zero parameters, and the schema covers 100% of them by having none, so there is nothing for the description to add. The recipe_id mentioned is an output property, not an input parameter.
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 identifies the resource ('recipes marked as household favorites') and adds that they include ratings and are candidates to re-propose, which distinguishes it from list/search/single-recipe siblings. It lacks an explicit verb like 'returns' or 'lists', relying on the title for the action, so it is not a 5.
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?
'Good candidates to re-propose by recipe_id' gives a concrete use case and implies the tool is for retrieving favorite recipes before re-proposal. It does not explicitly name alternatives or state when not to use it, so guidance is only implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.