Cortex

Awsgetawsresources

AWSGetAwsResources

List the AWS resources mapped to an entity, with their type and ARN. Returns nothing when the tenant has no AWS integration.

Input Schema

TableJSON Schema

Name	Required	Description
`context`	Yes	Explain why you're invoking this tool now and how its output will be used. Then state how this call supports your overall objective and fits into your broader plan across all tool calls (e.g., why this tool vs. others, and what step it unblocks). Never share any personal details or sensitive information.
`tagOrId`	Yes	Entity identifier - can be a tag or CID
`session_id`	Yes	Session continuity handle, one of two values: the ses_ ID issued for the task underway, or start. This server cannot link your calls between requests on its own, so session continuity travels in this parameter instead. If you were handed a session_id for this task — for example by the agent that spawned you — send that exact value from your first call. Otherwise send start on your first call; the server will issue an opaque correlation ID in the mcp_session field of the result, or in a text block at the start of the result beginning [session_id issued. Then send that exact ses_ value on every later call and hand it to any subagents working the same task. start always begins a new, unrelated task — never send it mid-task. If you send a value this server does not recognize, the result reports it: mcp_session.status of unrecognized, or a text block beginning [session_id unrecognized; re-send the ID issued for this task, or start if none was issued yet. Never invent a ses_ value.

Schema Changelog

Changes observed during successful MCP inspections.

AddedSep 25, 2026

TDQS

A3.8/5.0

Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does disclose an important edge case: 'Returns nothing when the tenant has no AWS integration.' It does not mention pagination, authorization, or error behavior, but for a simple list operation this level of disclosure is adequate.

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 terse sentences with no filler. The primary operation and output fields are front-loaded, and the edge-case sentence earns its place by setting a clear expectation.

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?

The description names the entity context, the returned fields, and the no-integration behavior, while the schema fully documents the parameters. There is no output schema, so a bit more detail on the exact return shape could help, but the tool is simple enough that the current description is largely sufficient.

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?

The input schema already describes all three required parameters, including a detailed explanation of session_id and tagOrId. The description adds no additional parameter-level meaning, so the baseline of 3 applies given 100% schema description coverage.

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 states a specific verb and resource: 'List the AWS resources mapped to an entity, with their type and ARN.' It clearly identifies the tool's scope and output fields, and the 'AWS' qualifier differentiates it from similar resource-listing siblings like KubernetesGetK8sResourcesForEntity.

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 intended use is implied: use this when you need AWS resources associated with an entity. However, the description gives no explicit when-to-use vs. alternatives guidance, no exclusions, and does not name comparable sibling tools. It relies entirely on the agent inferring the appropriate context.

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

All Cortex tools Inspect

Try in Browser

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources

Need Help?