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mp-juns

universal-research-mcp

by mp-juns

governance_evaluate_operation

Evaluates a proposed tool call to determine a deterministic allow or block action, ensuring governance compliance for research operations.

Instructions

Return the deterministic allow/block action for one proposed tool call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packetYes
operationYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It mentions 'deterministic' and 'return', suggesting a read-only, predictable operation, but it does not explain what inputs are expected, how policy is applied, or any side effects or prerequisites. This is a significant gap for a governance tool with opaque parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that efficiently conveys the core purpose. However, it is under-specified: it omits important context about inputs and behavior, so the brevity is not fully appropriate for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given two required nested objects with no parameter descriptions, no annotations, and an unknown output schema, the description is far too sparse to provide complete context. An agent would not know what constitutes a valid 'operation' or 'packet', nor what the returned allow/block decision depends on. This is inadequate for a governance evaluation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the semantics of 'operation' or 'packet'. Both parameters are untyped objects with additionalProperties true, offering no structural meaning. The description's phrase 'one proposed tool call' hints at what 'operation' might represent, but 'packet' remains entirely unexplained, leaving the agent without needed parameter understanding.

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 returns a deterministic allow/block action for a proposed tool call, identifying a specific verb and resource. It does not explicitly differentiate from sibling tools like governance_evaluate_gate or governance_validate_decision, though the focus on a single proposed call provides some distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for one proposed tool call' implies the tool is intended for evaluating a single operation, which gives a usage context. However, there is no explicit guidance on when to use this tool versus alternatives, such as when a gate or batch evaluation would be more appropriate.

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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