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Generate fictional profiles

generate_fake_profiles
Read-onlyIdempotent

Create deterministic fictional identity profiles for prototypes, QA, demos, and writing.

Input Schema

NameRequiredDescriptionDefault
seedNoOptional repeatable seed.
countNo
depthNocontact
genderNoAny
countryNous
ageRangeNo25-34

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds 'deterministic,' which reinforces reproducibility, but says nothing about output shape, how 'depth' changes the result, or that output is entirely synthetic/not real people.

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?

A single front-loaded sentence with no filler; the core purpose leads and the qualifier 'deterministic' is placed where it matters. Nothing wasted.

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

Completeness2/5

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

With no output schema and five undocumented parameters, the agent lacks needed context: what fields each 'depth' level returns, what 'country'/'ageRange' actually constrain, and what a 'profile' contains. For a generator with this much configuration surface, the description is too thin.

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

Parameters2/5

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

Six parameters with only 17% schema description coverage (seed only), yet the description mentions none of count, depth, gender, country, or ageRange. The enum values are largely self-explanatory, but the description does not compensate for the documentation gap as required at this low coverage.

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 ('Create') and resource ('deterministic fictional identity profiles'), making the tool's function immediately legible. It is distinguishable from the sibling generate_names by scope (full profiles vs. names), though it never explicitly names that sibling.

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 scenario list (prototypes, QA, demos, writing) implies when the tool is useful, but gives no when-not-to-use condition and never routes the agent between this and generate_names. Usage is suggested rather than guided.

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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