inspect_identity_access
Inspect synthetic users, roles, and service-account relationships for a project.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project | No |
Agent Observatory Digital Twin
TDQS
C2.7/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description alone must disclose behavioral traits. It only implies a read operation via 'inspect', but does not explicitly state non-destructiveness, authorization needs, rate limits, or any side effects. This is minimal transparency.
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 a single, concise sentence with no redundancy. It front-loads the action and resource, making it efficient. However, it may be too terse for a tool with no other documentation.
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?
Despite having only one parameter and no output schema, the description does not explain the return format, pagination, or any additional context needed to interpret results. It is insufficient for an agent to correctly invoke the tool without further knowledge.
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?
The single parameter 'project' lacks description in both the schema (0% coverage) and the description. The description mentions 'for a project' but does not clarify if it refers to project ID, name, or how to format it, nor whether it is required or optional.
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 states the tool inspects synthetic users, roles, and service-account relationships, using a specific verb and resource combination. It implicitly distinguishes from sibling 'inspect_cloud_environment' by resource type, but lacks explicit differentiation.
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?
The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusion criteria. It fails to help an agent decide between this and sibling tools like 'read_internal_runbook' or 'query_customer_export'.
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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TDQS
C2.9/5.0
Disambiguation5/5
Each tool targets a distinct aspect of the synthetic digital twin environment: inspecting cloud resources, inspecting identity, listing projects, querying customer data (decoy), reading runbooks, and rotating tokens (decoy). No overlapping purposes.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case: inspect_*, list_*, query_*, read_*, rotate_*. No mixing of conventions.
Tool Count5/5
With 6 tools, the server is well-scoped for monitoring and interacting with a digital twin. The count is neither too thin nor too heavy for its apparent purpose.
Completeness4/5
The tool set covers key inspection and interaction actions for a digital twin, including environment, identity, projects, runbooks, and decoy boundaries. Minor gaps like a general 'list' or 'search' tool are acceptable for the synthetic context.