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

With no annotations, the description carries the full behavioral burden and mostly fails it: it never states whether the check mutates anything, what the response contains (issues list? score? rewritten doc?), or what happens when the optional query is omitted. The one concrete disclosure — that the deliverable is a prompt pack containing a prompt, usage guide, and edge-case handling — is partially useful but also confusing, since it frames a 'check' operation as content delivery rather than analysis.

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?

Only three sentences, but the first is a slogan and the third describes packaged collateral rather than the tool's action, so the space is spent on promotion instead of purpose. The actual function is never front-loaded, leaving the reader to infer it from the name.

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 check/validation tool with no output schema and no annotations, the description should at minimum say what is validated and what a result looks like; it says neither. The audience claim about restaurant and brand teams also conflicts with the developer-oriented dt-api/dt-arch/dt-codereview sibling family, which may misroute the agent entirely.

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 is a single optional parameter whose schema description coverage is 100%, so the schema already explains that 'query' optionally scopes the analysis. Baseline 3 applies; the description adds no further meaning about how a query changes the check.

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 largely restates the tool name ("doc check tool prompt pack") without saying what is actually checked, what a check produces, or what kind of document it applies to. The lead sentence "Turn expertise into output" is a marketing slogan rather than a verb+resource statement, and nothing distinguishes this from dt-doc-gen-tool or dt-doc-tpl-tool.

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?

There is no when-to-use guidance at all: no prerequisites, no trigger conditions, and no mention of the obvious alternatives dt-doc-gen-tool and dt-doc-tpl-tool that sit next to it. The only audience cue ("restaurant and brand teams") is a target market, not a selection rule.

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