chick_fil_a_content_taxonomy

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

With no annotations, the description carries the full burden. It discloses the return shape (each term's id, name, slug, parent, entry count), pagination ('Returns one page'), and ordering ('ordered by name'). It also connects the output to the content filter usage. Minor gaps remain (e.g., error conditions, empty results), but the core behavior is transparent.

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 dense yet efficient. It front-loads the purpose, then the output format, then the taxonomy list with counts, and ends with ordering. Every sentence contributes new information—no fluff 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?

The description provides everything an agent needs to call the tool correctly: required taxonomy argument, pagination defaults, output field list, ordering, and the relationship to the content endpoint. Edge cases are not covered but are minor for this read-only listing tool.

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 100% for page and per_page, but the description adds crucial meaning for the taxonomy parameter by listing each vocabulary and its count, which is not in the schema. This goes beyond the baseline and helps the agent pick the right vocabulary.

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 states a specific verb ('List') and resource ('category and tag vocabularies') and immediately specifies the scope ('Chick-fil-A classifies its content under'). It distinguishes this tool from siblings like chick_fil_a_content and chick_fil_a_menu_taxonomy by focusing on content taxonomies and linking to the content endpoint.

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 explicitly explains the tool's role: 'Every id is a ready-to-use category or tag filter value on GET /chick-fil-a/content'. It enumerates all six taxonomy choices with term counts, making it unambiguous when and how to select a vocabulary. It also implies when not to use it (i.e., when you already have a filter id or need menu taxonomies).

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