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

No annotations are supplied, so the description carries the full behavioral burden. It hints at the deliverable shape (a prompt pack with examples) but never states whether the tool is read-only, what it returns, whether it requires any account or setup, or how deterministic the formula output is. Marketing adjectives like "production-ready" convey no operational information.

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?

Two short sentences, so nothing is bloated, but the front-loaded clause is boilerplate rather than purpose. Words like "production-ready," "repeatable workflow you can run today," and "system" consume space without adding selecting power for an agent.

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?

With no output schema and no annotations, the description is the only source of behavioral and return-value information, and it provides neither. For a tool sitting in a crowded family of near-identically named roi-* tools, it should at minimum say what it produces and how it differs from roi-analyze-tool and roi-tpl-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?

There is a single optional parameter whose schema description already covers it fully (100% coverage), and the description adds no syntax, format, or scope guidance for the "query" beyond "scope the analysis." With schema coverage this high, the baseline of 3 applies — the schema does the work and the description neither helps nor harms.

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?

"A production-ready roi formula tool system" essentially restates the tool name and title rather than stating a concrete verb and resource. The second sentence describes packaging ("copy-paste prompt pack with examples") rather than what the tool actually computes or returns, so an agent cannot distinguish this from roi-analyze-tool, roi-diag-tool, roi-board-tool, or roi-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?

The only audience cue is "for marketing and operations leaders," which is not a when-to-use condition. There is no mention of when this formula tool should be chosen over the several roi-* siblings, no prerequisites, and no exclusions. An agent has to guess based on the name alone.

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