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

With readOnlyHint=true and destructiveHint=false annotations, the safety profile is already clear, and the description adds significant behavioral detail: Latin names lack a single Hebrew spelling so every candidate spelling comes back with its own values and the chosen one is named; the substitution ciphers AtBash/Albam are explained as returning strings and/or values; non-Hebrew text is folded; and vowel points are removed. The description also clarifies the response includes matches and the rationale for each number, which is exactly the kind of behavioral context beyond annotations that helps an agent.

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 front-loaded with the core function, follows with the important caveat about Latin names and the per-candidate rule naming, and ends with use cases. It is information-dense but not bloated; every sentence adds a distinct fact. It loses a point because the opening is a long sentence with many clauses (ten ciphers, two substitutions, per-letter breakdown, curated matches) that could be split for easier parsing by 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?

For a complex tool with 10 optional parameters and no output schema, the description, combined with 100% schema coverage, covers the essential behavior: input types (Latin vs. Hebrew), transliteration rationale, cipher selection, output shape hints (per-letter breakdown, matches, columns/rows compact shape), and language fallback. The sibling tool names indicate a wider gematria family, but this tool's role is distinct and fully explained. Nothing important appears missing for an agent to invoke it correctly.

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 100%, so the baseline is 3; the description still adds meaning above the schema by explaining the overall flow: a Latin name is first transliterated, then scored, and the chosen spelling is named. It also provides context for the transliteration parameter's rationale (why only one deterministic map exists) and clarifies the purpose of the compact, includeMatches, and latinCiphers parameters. Since every parameter has its own schema description, the marginal value is solid but not exceptional.

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 uses a specific verb ('Score') and identifies the exact resource and scope: Hebrew/Latin words across ten gematria ciphers, with per-letter breakdowns, matches, and transliteration behavior. It distinguishes itself from sibling tools by clearly explaining that it handles both Latin and Hebrew input and returns multiple ciphers, whereas siblings like get_kabbalah_ciphers or get_kabbalah_daily have different scopes. The opening sentence directly tells an agent what computation is performed.

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 names the intended use cases: 'Built for name meaning features, numerology apps... and any product that has to show a reader why the number is what it is.' This gives clear when-to-use context. It doesn't explicitly exclude alternatives among the siblings, but the sibling suite appears to have distinct getters for daily readings, letters, names, tree, and profiles, so the application context is sufficient to route an agent.

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