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Generate names

generate_names
Read-onlyIdempotent

Generate up to 1,000 distinct fictional names from one or all supported countries.

Input Schema

NameRequiredDescriptionDefault
seedNoOptional repeatable seed.
countNoNumber of names to generate.
genderNoOptional gender filter.Any
countryNoCountry code or all for a mixed list.all
includeProfilesNoAttach a complete fictional profile to every name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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). Beyond them, the description adds two genuinely useful behavioral facts not present in the schema: results are 'distinct' (no duplicates) and 'fictional' (no real persons). It stops short of describing determinism/seed replay or the response shape.

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?

One front-loaded sentence with no filler. Every clause (count cap, distinctness, country scope) carries information an agent needs.

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

Completeness3/5

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 return shape is undocumented: an agent cannot tell from the definition whether it receives an array of strings or objects, nor what changes when includeProfiles is true. For a generation tool with no output schema, the description should say more about what comes back.

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 all five parameters are already documented, making the 3 baseline appropriate. The description adds only marginal value, restating the 1,000 cap and the country scope; it says nothing about seed, gender, or what includeProfiles actually attaches.

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

Purpose4/5

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

States a specific verb+resource (generate names), the output scale (up to 1,000), the uniqueness guarantee (distinct), and the scope (one or all supported countries). It clearly distinguishes itself in substance from generate_fake_profiles, though it never names or contrasts that sibling explicitly.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, and the sibling generate_fake_profiles is never mentioned. This matters because the includeProfiles parameter makes this tool functionally overlap with generate_fake_profiles, yet an agent gets no rule for choosing between them.

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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