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Toy MCP Server

by icck

generate_uuid7s

Generate UUIDv7 identifiers for applications requiring time-ordered unique IDs. Specify quantity as needed.

Instructions

Generates a specified number of UUIDv7 (default is 1).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoThe number of UUIDs to generate

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • server.py:23-26 (registration)
    Registers the 'generate_uuid7s' tool using FastMCP @mcp.tool decorator.
    @mcp.tool(
        name="generate_uuid7s",
        description="Generates a specified number of UUIDv7 (default is 1).",
    )
  • server.py:27-30 (handler)
    The handler function for the 'generate_uuid7s' tool, which validates input via Annotated Field and delegates to the implementation.
    def generate_uuid7s(
        count: Annotated[int, Field(description="The number of UUIDs to generate", default=1, ge=1)],
    ) -> list[str]:
        return generate_uuid7s_impl(count)
  • Core implementation that generates the specified number of UUIDv7 using the uuid6 library.
    def generate_uuid7s_impl(
        count: Annotated[int, Field(description="The number of UUIDs to generate", default=1, ge=1)],
    ) -> list[str]:
        """
        Generates a specified number of UUIDv7.
    
        Args:
            count: The number of UUIDs to generate. Defaults to 1. Must be 1 or greater.
    
        Returns:
            A list of UUIDv7 strings.
        """
        return [str(uuid6.uuid7()) for _ in range(count)]
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what the tool does but lacks critical details: it doesn't specify if the operation is idempotent, has side effects, requires permissions, or involves rate limits. For a generation tool with zero annotation coverage, this is a significant gap in transparency.

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 extremely concise and front-loaded, consisting of a single sentence that directly states the tool's function and key parameter detail. There is no wasted language, making it efficient and easy to parse for an agent.

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?

Given the tool's low complexity (one parameter, no nested objects) and the presence of an output schema (which handles return values), the description is minimally adequate. However, it lacks context on behavioral aspects like idempotency or side effects, which are important for a generation tool without annotations, leaving some gaps in completeness.

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 description adds minimal meaning beyond the input schema, which has 100% coverage for the single parameter 'count'. It mentions the default value (1) and implies the parameter controls quantity, but the schema already documents this thoroughly. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't add significant value.

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?

The description clearly states the tool's purpose: generating UUIDv7 identifiers with a specified quantity. It uses specific verbs ('generates') and resources ('UUIDv7'), but does not distinguish from the sibling tool 'count_letters', which is unrelated. The description avoids tautology by explaining functionality beyond the name.

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?

The description provides no guidance on when to use this tool versus alternatives or in what context it is appropriate. It mentions a default count but offers no usage scenarios, prerequisites, or exclusions. This leaves the agent without direction on application.

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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