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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description nonetheless adds genuine behavior context beyond them: determinism (same input, same output), the fallback of returning dictionary-missing words unchanged, and an explicit disclaimer that this is a rule-based rendering rather than an 'official/correct' transcription. It does not describe output shape or failure modes for bad/unsupported input.

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?

Front-loaded with the core verb+resource+mechanism, then compactly covers determinism, the caveat, and the missing-word fallback. The bilingual restatement adds length but serves a real audience purpose; still, the Korean line largely duplicates the English disclaimer rather than adding information.

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?

There is no output schema, so the description carries the burden of explaining results. It discloses the missing-word fallback and determinism but says nothing about the return shape (what 'Hangul' output looks like, whether IPA is included in the response, error behavior for unsupported source_lang). Adequate for a simple read-only transcriber, but with a clear gap on results.

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 description coverage is 67%, with text well documented and source_lang pointing to list_supported_languages, so the baseline is 3. The description's 'word -> IPA -> Hangul' segment adds indirect meaning to include_ipa, but it never names or explains include_ipa or source_lang explicitly, so it does not meaningfully exceed what the schema already provides.

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?

States a specific verb (transcribe) and resource (foreign word/short sentence into Hangul) and names the mechanism (WIHP dictionary + rule pipeline, word -> IPA -> Hangul). This is clearly distinguishable from siblings list_supported_languages and lookup_ipa, which are retrieval-only helpers this tool depends on.

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?

Usage is implied rather than stated: the pipeline explanation and the source_lang schema note ('see list_supported_languages') gesture at the workflow with the sibling tools, but the description never explicitly says when to use this versus lookup_ipa or what prerequisites exist. No when-not guidance is given.

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