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AtlaSent — Create Approval Request

atlasent_create_approval_request

Create an approval request for a held action by specifying the requesting actor, action, resource, and organization ID, enabling authorization for blocked operations.

Instructions

Create an approval request for a held action. The request ID is returned in the evaluate response when decision is 'hold'. Submit resolution via atlasent_resolve_approval_request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesThe action requiring approval (e.g. 'delete:production-db').
org_idYesOrganization ID that owns the policy.
contextNoContext from the original evaluate call.
subjectYesThe actor requesting the approval (e.g. 'user:alice').
resourceYesThe resource the action targets (e.g. 'db:prod-postgres').
justificationNoHuman-readable justification for why the action is needed.
Behavior3/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, meaning it's a mutation but not destructive. The description adds context about the request ID coming from evaluate but doesn't disclose additional behavioral traits beyond annotations.

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, no unnecessary words. The first sentence states purpose, the second gives workflow context. Efficient and front-loaded.

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 the tool creates an approval request with 6 parameters and no output schema, the description covers the essential workflow but doesn't explain the tool's return value or the follow-up process beyond resolution. Still sufficient for basic use.

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 descriptions for each parameter. The description does not add extra meaning beyond the schema, meeting the baseline expectation.

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 creates an approval request for a held action and ties it to the evaluate response, distinguishing it from the sibling tool atlasent_resolve_approval_request that resolves it.

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 implies when to use: after an evaluate response with decision 'hold'. It also directs the agent to the resolution tool, providing good context, though it could explicitly state when not to use.

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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