Skip to main content
Glama

Evaluate Rego with execution trace

rego_eval_with_explain
Read-onlyIdempotent

Evaluate Rego policies with a full explanation trace. Shows why each rule fired or didn’t, enabling decision explanations.

Instructions

Evaluate with --explain=full and return a structured trace alongside the result. Use this when an agent needs to see why a rule fired (or didn't) -- the trace is the basis for rego_explain_decision.

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.
Behavior4/5

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

Annotations already declare readOnlyHint=true, etc. The description adds that it uses --explain=full and returns a structured trace, which provides behavioral context beyond the annotations. No contradictions.

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 at two sentences, front-loading the main behavior and use case. Every sentence adds value without redundancy.

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 8 parameters and no output schema, the description explains the core functionality and use case. It could be more complete by describing the trace structure, but the reference to rego_explain_decision partially compensates.

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 100%, so each parameter already has a description. The tool description does not add additional semantics beyond the schema, meeting the baseline of 3.

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 it evaluates Rego with '--explain=full' and returns a structured trace, distinguishing it from rego_eval which likely returns only results. It specifies the use case for understanding rule firing.

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 explicitly says 'Use this when an agent needs to see why a rule fired (or didn't)', providing clear context. It mentions the trace is the basis for rego_explain_decision, implying an alternative for further analysis, though it could more directly name rego_eval for cases without trace.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/OrygnsCode/opa-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server