bar_create_ingredient

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

With no annotations, the description carries the full behavioral burden and does disclose a lot: hierarchy placement via parent_ingredient_id, the expectation to fully populate a new bottle, and required follow-up calls (image upload, flavor profile). It omits behavioral traits such as duplicate-name handling, permission/auth needs, and failure modes, which keeps it from a 5.

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 core purpose and the primary create-vs-reuse decision are front-loaded in the first two sentences, with the completeness checklist following as a scannable bulleted list. It is longer than a minimal description but each block (hierarchy, create rule, fill completely, follow-ups) earns its place; some detail could be trimmed without loss.

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 6-parameter mutation tool with no annotations, the description covers the workflow context an agent needs—hierarchy, the create-vs-reuse rule, completeness requirements, and required follow-up tools. The presence of an output schema means return values need no explanation. It is close to complete, with only duplicate/error behavior and the required-vs-optional distinction left unaddressed.

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?

Schema description coverage is 0%, so the description must carry the load, and it meaningfully explains most fields: parent_ingredient_id (hierarchy placement), strength (ABV), description, origin, and images (via the bar_upload_image/bar_upload_image_file workflow). Minor gaps remain: it never echoes the required 'name' field or notes that 'images' is an array of image IDs, and states 'an image' singular against an array 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 first sentence states a specific verb+resource ('Create a new ingredient') and the hierarchy detail clarifies the object model. It distinguishes this from the reuse-generic-category path and names complementary siblings (bar_set_flavor_profile, bar_audit_ingredients). It does not explicitly contrast with the close CRUD siblings bar_update_ingredient/bar_delete_ingredient, so it stops short of 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?

It gives an explicit when-to-use rule ('Only create a NEW specific bottle when a recipe genuinely needs that brand') and an explicit when-not/alternative ('for ordinary base-spirit slots, reuse the existing generic category'). It also routes the agent to bar_audit_ingredients for the follow-up workflow, so nothing is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.