bar_get_flavor_profile

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

With no annotations, the description carries the disclosure burden and does well: it reveals that profiles are per-axis integer scores on a category scale (gin: 0-3 across named axes) and that provenance (source enum, confidence, notes) is returned. It does not describe read-only safety or error behavior, but for a read operation the return-shape detail is substantial.

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?

Front-loads the purpose in one sentence, then supplies axis-scale and provenance detail. Efficient and well-ordered, with no filler, though the scale example is slightly verbose for a retrieval tool.

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?

An output schema exists, so return values need not be spelled out, yet the description goes further and characterizes them. For a single-param read tool this is largely complete; the main gap is the absence of usage routing or identifier semantics.

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 coverage is 0% for the single required ingredient_id, so the description must compensate. It adds only modest meaning by clarifying 'ingredient (specific bottle)', which helps distinguish a specific bottle from a generic ingredient, but adds no identifier format or lookup guidance.

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?

States a specific verb (Return) and resource (flavor profile) plus scope ('recorded for an ingredient (specific bottle)'), which clearly separates it from the write-side sibling bar_set_flavor_profile. It is clear on its own, though it never names an alternative tool to sharpen the contrast.

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?

Usage is implied by the clear read purpose, but there is no explicit when-to-use guidance and no routing to alternatives such as bar_get_ingredient or bar_list_flavor_axes. An agent can infer the intent but gets no exclusions or prerequisite conditions.

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