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

No annotations are provided, so the description carries the burden, and it does disclose the core behavior: fuzzy matching that selects the single best match. However, it omits what happens when no match clears the threshold, whether ties are broken, and how the score drives selection. Output schema covers the return shape, which lowers the remaining burden.

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?

A single front-loaded sentence with no filler or repetition. It is efficient, though arguably terse to the point of under-specifying the matching semantics.

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?

An output schema exists, so return values need not be described. Still, for a fuzzy-matching tool with zero schema documentation and no annotations, the description leaves key operational facts unstated: the role of min_score, fallback behavior on no match, and how 'best' is determined.

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 0% for both parameters, so the description must compensate and largely does not. 'Fuzzy name match' loosely implies the name parameter's role, but min_score (default 85) is never mentioned or explained, leaving its meaning and effect undocumented in both schema and description.

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 and resource ('Retrieve all names for the date') qualified by the matching mode ('best fuzzy name match'). This implicitly separates it from the date-based siblings get_nameday_by_date and get_nameday_today, though it never names or contrasts them explicitly.

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 only implied: the name input and fuzzy matching suggest 'use this when you have a name rather than a date.' There is no explicit when-to-use statement, no guidance on when to prefer a date-based sibling, and no stated prerequisites.

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