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LesterAJohn

jumpcloud-mcp

jumpcloud_tenant_policy_set

Update scoped policy guardrails for API execution by setting tenant/user policy, controlling allowed domains, methods, and operation IDs.

Instructions

Mutating tenant/user policy writer. Use to update scoped policy guardrails for API execution. Risk: high.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdNo
tenantIdNo
allowMutationsNo
allowedDomainsNo
allowedMethodsNo
authorizationKeyNo
allowedOperationIdsNo
allowedPathPrefixesNo
enforceMutationOperationAllowListNo
Behavior2/5

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

No annotations are provided, and the description only says 'Mutating' and 'Risk: high' without detailing effects on existing policies, authorization requirements, reversibility, or response format. The risk warning is a minimal behavioral cue but insufficient for a high-stakes mutation tool.

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?

The description is concise and front-loaded with the action and risk level. Minor redundancy exists between 'Mutating tenant/user policy writer' and 'Use to update scoped policy guardrails,' but overall it is efficient.

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?

With 9 parameters, no annotations, and no output schema, the description is too sparse. It omits which parameters are required, how the policy is applied or replaced, what the response contains, and any prerequisites or side effects, making it inadequate for safe invocation.

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

Parameters2/5

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

Schema description coverage is 0%, and the description adds no parameter-specific explanations. It hints at tenant/user scoping, but the 9 parameters (e.g., allowMutations, allowedDomains, authorizationKey) remain semantically opaque, leaving the agent to guess their meaning from names alone.

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 identifies the tool as a 'Mutating tenant/user policy writer' and states it is used to 'update scoped policy guardrails for API execution.' This distinguishes it from read-only siblings like jumpcloud_tenant_policy_get, though it does not explicitly mention alternatives.

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 provides an explicit use case ('Use to update scoped policy guardrails'), giving clear context for when to invoke this tool. However, it lacks any exclusions or comparisons to sibling tools, so it does not fully address 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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