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

With no annotations, the description carries the full behavioral burden, yet it says nothing about whether this is a static template retrieval, whether it writes anything, or what the response shape looks like. It does disclose the pack's contents (prompt, usage guide, edge-case handling), which is modest added value, but the operational profile remains opaque.

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 short (three sentences) and not padded, but the opening sentence "Turn expertise into output" is pure marketing filler placed where the actual purpose should be front-loaded. The useful content (pack contents) arrives last.

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 low-complexity tool with one optional parameter and no output schema, the description should at minimum say what the template produces and when to pick it over the sibling review tools. Neither is present, leaving an agent unable to route correctly within a very dense sibling cluster.

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 with 100% schema description coverage, so the schema already explains that the query scopes the analysis. The description adds no parameter meaning beyond that, but the baseline of 3 applies when schema coverage is complete.

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 mostly restates the name ("review tpl tool") and leads with the marketing phrase "Turn expertise into output," which communicates no verb-resource pair. It only hints at the deliverable (a prompt pack with prompt, usage guide, edge-case handling). It gives no differentiation from the many review-* siblings such as review-gen-tool, review-check-tool, or review-tpl-tool-adjacent templates.

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?

No when-to-use, when-not-to-use, or alternative-tool guidance is given, despite roughly eight sibling review-* tools that an agent must choose between. The only contextual scrap is "helps restaurant and brand teams," which is audience framing rather than a selection rule.

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