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, yet it discloses almost nothing: no output format, no length, no data sources, no side effects. The phrase 'includes the complete prompt, usage guide, and edge-case handling' hints that the tool returns prompt-pack content rather than performing analysis, which is the only substantive behavioral signal. That hint is too ambiguous to tell an agent what calling it actually produces.

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?

Three sentences, but the lead line ('Turn expertise into output') is pure sloganeering and the second sentence is sales copy aimed at buyers, not agents. The only potentially informative clause, about the bundled prompt and edge-case handling, is buried at the end. Space is spent on persuasion rather than specification.

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 tool is simple (one optional parameter, no output schema, no annotations), so a short description could be complete, but this one omits the essentials: what the summary reports on, what period or data it draws from, and what the caller receives. The 'prompt pack' framing raises unanswered questions about whether it generates text, a template, or an analysis.

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 'query' parameter with 100% schema description coverage, so the schema already explains its meaning ('Optional user query to scope the analysis'). The description adds nothing about how the query influences the summary. Baseline 3 applies since the schema does the work.

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 restates the name ('monthly summary tool') and surrounds it with marketing copy ('Turn expertise into output', 'produce professional results in minutes') rather than stating a concrete verb and resource. It never says what the monthly summary actually contains or covers, and the mention of 'restaurant and brand teams' is the only domain hint. An agent cannot distinguish this from monthly-audit-tool, monthly-gen-tool, or monthly-write-tool based on this text.

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, no prerequisites, and no mention of any alternative despite dozens of monthly-* siblings. Only a loose audience hint ('restaurant and brand teams') implies context. Nothing tells an agent which situation should route here versus the other monthly tools.

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