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opa-mcp-server

Explain Rego decision

rego_explain_decision

Explains a Rego decision by evaluating a query with full tracing, returning a structured trace and per-rule summary to answer why a policy denied or allowed.

Instructions

Evaluate a Rego query with full tracing and return a structured trace plus per-rule fired/not-fired summary. Use this when you need to answer "why was this denied?" — the agent reads the structured trace and narrates the cause without re-implementing the trace parser.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesRego query to evaluate, e.g. "data.example.allow".
sourceNoInline Rego policy source. Mutually exclusive with `paths`.
pathsNoPolicy / data file or directory paths. Each must be inside an allowed root.
inputNoInline input document.
inputPathNoPath to a JSON input file. Mutually exclusive with `input`.
unknownsNoRefs to treat as unknown during partial evaluation.
partialNoRun partial evaluation rather than full evaluation.
strictBuiltinErrorsNoTreat builtin errors as fatal instead of returning undefined.
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the evaluation behavior (full tracing, structured output) but does not mention side effects, permissions, or error handling. It implies read-only behavior.

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?

Two sentences: first defines the operation, second provides usage context. Front-loaded and efficient with no redundant words.

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?

Given no output schema, the description explains the return value (structured trace, per-rule summary). It mentions the use case but could expand on error conditions or output format specifics.

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 coverage is 100% with descriptive parameter descriptions. The tool description adds no further parameter-level semantic detail beyond restating purpose and output structure.

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 evaluates a Rego query with full tracing and returns a structured trace and per-rule summary. It explicitly distinguishes from siblings by mentioning 'why was this denied?' and implies a debugging use case.

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?

It specifies when to use ('when you need to answer why was this denied?') and describes the agent's role in narrating the cause. However, it does not explicitly exclude scenarios or mention alternative tools.

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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