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camelot_uuid_generator

Idempotent

Generate cryptographically random UUID v4 strings in bulk. Specify a count from 1 to 100 for local browser processing.

Instructions

UUID V4 Generator: Generate cryptographically random UUID v4 strings in bulk.. Local browser processing. Canonical URL: https://www.camelotwebtools.com/tools/uuid-generator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of mock records or items to generate

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYesExecution status of the tool (success or error)
prefillUrlYesDirect deep-link URL to view, edit, and export in Camelot Web Tools
canonicalUrlYesCanonical web URL for this tool on camelotwebtools.com
documentTitleYesTitle of the generated document, report, or calculation output
documentMarkdownYesComplete structured output and body formatted in clean Markdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already provide idempotent and destructive hints, while the description adds meaningful behavioral context: 'cryptographically random' and 'Local browser processing' signal randomness guarantees and offline/privacy-relevant execution. There is no contradiction with the annotations.

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

Conciseness4/5

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

The description is compact and front-loaded, with the core action in the first sentence. It has minor redundancy ('UUID V4 Generator:' followed by 'Generate ... UUID v4') and a double-period typo, so it is not perfect.

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

Completeness4/5

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

For a one-parameter utility with an output schema and annotations, the description covers the essential context: purpose, bulk capability, cryptographic randomness, and local processing. Return values are covered by the output schema, so the only small gap is not explicitly tying 'count' to the number of returned UUIDs.

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?

The input schema fully documents the single 'count' parameter with default, minimum, and maximum, and the description's 'in bulk' maps to that parameter. However, the description does not explicitly state that count controls the number of UUIDs returned, and the schema's 'mock records or items' wording is slightly off-label for a UUID generator.

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 and resource: 'Generate cryptographically random UUID v4 strings in bulk.' It also adds 'Local browser processing' and a canonical URL, making the tool's function unambiguous and clearly distinct from the sibling set, which contains no other UUID-related tool.

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

Usage Guidelines4/5

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

The description gives explicit task context: use this tool when bulk UUID v4 generation is needed, with local browser processing. It does not name alternatives or exclusions, but no sibling tool overlaps with UUID generation, so the absence of explicit 'when-not' guidance is acceptable.

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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