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Parsley MCP by usefulapi

List ingredients

parsley_list_ingredients
Read-only

List the ingredients that can be used in recipes: id, parent id, name, label name, item number, supported units, and whether a recipe uses it. The API returns the whole list at once; search/limit/offset slice it here. GET /ingredients.

Input Schema

NameRequiredDescriptionDefault
limitNoResults to return, 1-500 (default 100).
offsetNoSkip this many results (default 0). Pass the previous reply's next_offset.
searchNoOnly ingredients whose name contains this text (case-insensitive).
used_by_recipeNotrue: only ingredients used by a recipe; false: only unused ones.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/non-destructive, so the bar is lower. The description adds non-obvious context: the API returns the entire list in one call and filtering/paging happens on this side, which shapes how an agent should size requests.

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 short sentences: fields returned, paging behavior, and endpoint. It is front-loaded and there is no filler.

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?

With no output schema, it usefully enumerates the returned fields and explains paging semantics. It stops short of noting the default page size or pointing to the single-item sibling, but nothing essential for a correct call is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds a semantic nuance beyond the schema by clarifying that limit/offset/search act as post-hoc slicing over the full list rather than server-side query parameters.

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?

States a specific verb and resource ('List the ingredients that can be used in recipes') and enumerates the returned fields, which distinguishes it well from parsley_get_ingredient. It never explicitly contrasts with the singular sibling, so the differentiation is implicit rather than stated.

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 sentence about the API returning the whole list while search/limit/offset slice it 'here' implies when to use this tool for browsing/paging. However, it gives no explicit guidance on choosing it over parsley_get_ingredient for a single lookup, and no exclusions.

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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