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Works With Agents MCP Server

by vystartasv

wwa_compliance_check

Validate an agent implementation against any Compliance-as-Code ruleset (e.g., GDPR, SOC 2, ISO 27001) by supplying rules and implementation config. Get pass/fail compliance checks.

Instructions

Validate an agent implementation against a Compliance-as-Code ruleset. Regulation-agnostic validation engine — supply any ruleset (DTAC, FCA, GDS, GDPR, SOC2, ISO 27001) and your implementation config. Implements Works With Agents Compliance-as-Code spec v1.0.0-draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rulesYesList of compliance rules to validate against
regulationYesRegulation name (e.g. 'NHS DTAC', 'FCA SMR', 'GDPR', 'SOC 2')
implementationYesImplementation config to validate (dict with field paths)
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 does not mention whether the operation is read-only, side effects, authentication requirements, or the return format. The only added context is the spec version, which is insufficient for an agent to anticipate behavior.

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?

Two sentences with a clear verb-first structure. The regulation examples and spec mention are useful but make the description slightly denser than necessary. Still, every sentence earns its place and there is no filler.

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?

The description covers purpose and inputs, but with no output schema and no annotations, it fails to state the result or return format. The agent knows it validates, but not what a validation outcome looks like. This is a notable gap, though not fatal for a straightforward check tool.

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?

Input schema coverage is 100% with all three parameters described. The description adds some context by referring to 'ruleset' and 'implementation config' and listing example regulations, but it does not add syntax or nested structure details beyond what the schema already provides. Baseline of 3 applies.

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 clearly states the tool validates an agent implementation against a Compliance-as-Code ruleset, naming specific regulations and emphasizing its regulation-agnostic nature. This distinguishes it from sibling validation tools focused on SLA, blueprint, or handoff validation.

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 clear context: supply any ruleset and implementation config to perform compliance validation. It implies when to use the tool through examples like 'DTAC, FCA, GDS, GDPR, SOC2, ISO 27001', but it does not explicitly exclude alternatives or state when not to use it.

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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