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Namesake — baby name catalog and guides

Get a baby name profile

get_name
Read-only

Returns one baby name's public profile: meaning, origin, pronunciation, syllables, style/vibe tags, popularity rank + trend, and the Namesake score breakdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name, case-insensitive (e.g. Rowan).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
originYes
meaningYes
contractYes
rank2023Yes
rank2024Yes
vibeTagsYes
styleTagsYes
syllablesYes
scoreTrendYes
sexPctMaleYes
trendLabelYes
velocity1yrYes
canonicalUrlYes
meaningShortYes
scoreMeaningYes
sexCharacterYes
namesakeScoreYes
pronunciationYes
currentlyTop100Yes
currentlyTop500Yes
originSecondaryYes
scoreUniquenessYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already cover readOnlyHint, destructiveHint, and openWorldHint, so the safety profile is clear. The description adds useful context by specifying the tool returns a public profile and listing exactly which data fields are included, but it does not disclose additional behavioral traits such as error handling, normalization, or rate limits. This is adequate but not exceptional given the annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence that front-loads the core action and then efficiently lists the returned profile attributes. Every word adds value, and the structure is easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists, the description does not need to explain return values in detail. It names all major profile components, communicates that the profile is public, and is accompanied by read-only annotations. This is complete enough for an agent to correctly select and invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already fully documents the `name` parameter. The description adds a small amount of context by indicating the tool returns a profile for one name, but it does not add meaningful parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (Returns), a specific resource (one baby name's public profile), and enumerates the profile components (meaning, origin, pronunciation, syllables, style/vibe tags, popularity, Namesake score). This clearly distinguishes it from sibling tools like search_names, which find names rather than retrieve a single profile.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies the tool is for retrieving a single name's profile, but it does not explicitly explain when to prefer it over search_names or when not to use it. There is no exclusionary guidance or mention of alternatives, so the usage context is present but only implied rather than explicit.

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

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