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aga_demonstrate_lifecycle

Execute a complete attestation lifecycle demonstration: attest, measure, detect drift, revoke, bundle, and verify integrity for AI agent actions.

Instructions

Execute full AGA lifecycle demo: attest → measure → drift → revoke → bundle → verify.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subject_contentNo
subject_metadataNo
scenarioNoScenario: drone, scada, or custom
include_driftNo
include_revocationNo
include_behavioralNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the sequence of operations but doesn't explain what each step does, whether it's read-only or destructive, what permissions are needed, or what the output looks like. For a tool with 6 parameters and no annotations, this is insufficient to understand its behavior beyond a high-level workflow.

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 extremely concise—a single sentence listing the demo steps. It's front-loaded with the main purpose and wastes no words. Every part of the sentence directly contributes to explaining the tool's function.

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?

Given the complexity (6 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It doesn't explain what the tool returns, how the parameters interact, or what the 'AGA lifecycle' entails. For a demo tool that likely has significant side effects, more context is needed to use it effectively.

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 low at 17%, with only one parameter ('scenario') having a description. The tool description doesn't add any meaning about the parameters—it doesn't explain what 'subject_content' or 'subject_metadata' are, or how the boolean flags affect the demo. With 6 parameters and minimal schema coverage, the description fails to compensate for the gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Execute[s] full AGA lifecycle demo' and lists the sequence of operations (attest → measure → drift → revoke → bundle → verify), which gives a general idea of what it does. However, it's vague about what 'AGA lifecycle' entails and doesn't distinguish this from sibling tools like aga_measure_behavior or aga_verify_artifact, which might handle parts of this lifecycle individually.

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?

There's no guidance on when to use this tool versus its siblings. The description implies it's for a 'demo' but doesn't specify scenarios where this comprehensive tool is preferable over using individual tools like aga_measure_subject or aga_revoke_artifact separately. No exclusions or alternatives are mentioned.

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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