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AtlaSent-Systems-Inc

atlasent-mcp

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AtlaSent — Evaluate (Remote API)

atlasent_evaluate

Evaluate an action against your AtlaSent policies. Returns allow, deny, hold, or escalate with a permitToken on allow to gate the action securely.

Instructions

Evaluate an action against your published AtlaSent policies. Returns allow/deny/hold/escalate with a permitToken on allow. Use this when ATLASENT_MODE=remote and you need to gate an action against your hosted policy engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesWhat action is being performed (e.g. 'production.deploy', 'records.delete').
org_idYesOrganization ID that owns the policy.
contextNoKey-value context matched against constraint rules.
explainNoWhen true, populates risk_envelope.factors with a per-factor score breakdown
subjectYesThe actor performing the action (e.g. 'user:alice', 'service:deploy-bot').
resourceYesThe resource being acted on (e.g. 'env:prod', 'db:customers').
Behavior3/5

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

Annotations already provide readOnlyHint=false and destructiveHint=false. The description adds that it returns a permitToken on allow, but does not disclose potential side effects like logging, auth requirements, or error handling. With annotations present, the description adds moderate value.

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 two sentences long, front-loaded with purpose and return behavior. Every sentence adds value; no wasted words.

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

Completeness3/5

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

The tool has 6 parameters and no output schema. The description explains the return type and usage condition, but lacks details on error scenarios, network requirements, or typical response structure. While adequate for a simple tool, there are notable gaps.

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 baseline is 3. The description does not add significant meaning beyond the schema; it contextualizes parameters (e.g., 'action against policies') but doesn't elaborate on formats or additional constraints.

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 verb 'evaluate' and the resource 'action against AtlaSent policies', and specifies the return values (allow/deny/hold/escalate with permitToken). It distinguishes from siblings like atlasent_evaluate_many and atlasent_evaluate_stream by focusing on single action evaluation.

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 ATLASENT_MODE=remote and you need to gate an action against your hosted policy engine.' This provides clear context for when to choose this tool, though it does not explicitly mention when not to use it or list alternatives.

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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