Skip to main content
Glama

cognitive.verify_ethics_and_norms

Normative ethics & fairness: enforce deontological vetos, evaluate Rawlsian vs Utilitarian welfare, and arbitrate moral dilemmas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsNo
stakeholder_payoffsNo
proposed_action_or_planNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
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 burden of behavioral disclosure. It discloses that the tool can 'veto' and 'arbitrate', which hints at potentially blocking outcomes, but it does not state whether this is read-only analysis, whether it mutates state, what triggers a veto, or what the output shape is. The behavioral profile is under-specified.

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 efficient sentence with the topic front-loaded, which is good. However, it is closer to a terse label than a structured explanation — three purposes are packed together without elaboration, so conciseness comes at the cost of useful detail.

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

Completeness2/5

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

For a tool with three loosely-typed optional parameters, no annotations, and zero schema coverage, this short description is not adequate. It does not explain how to structure inputs, what a moral dilemma request should look like, or how the ethical frameworks map to the parameters. The output schema exists but input-side semantics remain largely unexplained.

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 provides no parameter-level information. The three parameters (options, stakeholder_payoffs, proposed_action_or_plan) are loosely typed with additionalProperties and defaults of null, so the agent gets no help understanding what data to supply, how payoffs map to stakeholders, or how options relate to the plan.

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 states a specific purpose with concrete verbs and resources: enforce deontological vetos, evaluate Rawlsian vs Utilitarian welfare, and arbitrate moral dilemmas. It is clearly about normative ethics and fairness, and the explicit ethical frameworks help distinguish it from siblings like evaluate_cooperation or verify_strategy, though it does not name any sibling explicitly.

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 guidance on when to use this tool versus alternatives, no exclusions, and no mention of any sibling tool. The description implies usage (e.g., when an ethical evaluation is needed) but leaves the agent to infer when this is preferable to verify_strategy or evaluate_cooperation.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources