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agentspan-ai

MCP Test Server

by agentspan-ai

validation_is_uuid

Check whether a string is a valid UUID before using it as an identifier. Prevent malformed UUIDs from entering MCP Test Server workflows.

Instructions

Check whether a string is a valid UUID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

C2.9/5.0
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 behavioral burden. It says nothing about which UUID forms are accepted, whether the check is case-sensitive, or how malformed input is treated — the core behavioral question for a validator. For a zero-annotation tool this is a significant disclosure gap.

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?

A single front-loaded sentence with no filler; the purpose is stated in the first few words. It is appropriately sized for a simple predicate, though it is so terse that it omits information an agent could use.

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?

An output schema exists, so return-value explanation is unnecessary, and the operation itself is simple. However, with no annotations and 0% parameter coverage, the description should at least pin down the accepted UUID format; without that, an agent cannot fully predict pass/fail behavior.

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 0%, so the schema documents nothing about the single 'text' parameter. The description's phrase 'a string' loosely implies that text is the value being tested, which is minimal but real compensation. Baseline would be 4 for zero parameters, but with one undocumented parameter a 3 is appropriate.

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 ('Check') and resource ('a string is a valid UUID'), so the agent immediately knows this is a boolean validation predicate. It does not distinguish itself from the many sibling validators (validation_is_email, validation_is_ipv4, validation_is_json), though the resource name makes the distinction fairly obvious.

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 guidance, no exclusions, and no mention of alternatives or preconditions. The description also doesn't state what criteria make a string 'valid' (UUID version, hyphenation, braces, case), which is exactly the ambiguity an agent would need resolved before choosing this tool over validation_matches_regex.

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