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

Beyond the readOnlyHint annotation, the description discloses data provenance ('auto dari tool registry'), guarantees that names/descriptions are always accurate, and explains that 'uncategorized' means the tool was not manually curated with a fallback use-case from a truncated description. It does not describe response size or formatting, but the read-only catalog behavior is adequately 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?

Two dense sentences front-load the core purpose and usage timing before the caveats. Every clause adds relevant information—what the tool returns, when to use it, why it prevents mistakes, and an important data-quality caveat—with no filler.

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 simple one-optional-parameter read-only catalog tool, the description covers the output fields, the usage context, and data-quality caveats well. A minor gap is that it does not warn about potentially large responses or truncation, which would be useful for this kind of catalog tool but does not block correct invocation.

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%, so the baseline is 3, but the description adds value beyond the enum by explaining the meaning of the 'uncategorized' category and the fallback behavior of useCase. It also reinforces that 'all' is the default filter, which is useful context for an agent deciding whether to pass the parameter at all.

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 names a concrete verb–resource pair ('Daftar semua tool WhaleScope MCP' = list all WhaleScope MCP tools) and enumerates the returned fields (category, estimated token cost, use-case, dependencies). This makes the tool's role as a meta-catalog unmistakable relative to the many data-analysis sibling tools.

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 gives explicit usage timing: 'Berguna sebelum manggil banyak tool individual' (useful before calling many individual tools), and explains the decision benefit of checking categories/use-cases to avoid wrong tool selection or missing composite tools. It clearly names composite tools as an alternative but does not state an explicit when-not-to-use condition.

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