AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance

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

With no annotations, the description carries the full burden of behavioral disclosure, and it is exceptionally thorough. It reveals determinism, step-order enforcement, replay protection via nonce, timestamp freshness, Ed25519-signed hash-chained receipts, and the anonymous demo-lane sequence_id rewriting with an explicit note that this is intended. It also discloses denial response fields like locked_step_order, expected_step_order, step_order_source, and allowed_action_types, plus the permanence of sealing on the shared demo lane.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long, but the length is justified by the tool's complexity and the absence of annotations and output schema. It is front-loaded with the core purpose and then organized into security guarantees, authentication, demo-lane behavior, and sequence_id reuse. Each paragraph earns its place, though a slightly tighter edit could reduce redundancy around the step_order and sequence_id notes.

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

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

The tool has no output schema and no annotations, yet the description covers return values (ALLOW/DENY/HALT, reason codes, receipt metadata), common denial payloads, authentication options, the sequence_id reuse rule, and demo-lane caveats. An agent has enough context to call the tool correctly, interpret denials, and recover from mistakes without guessing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds substantial behavioral meaning beyond the schema. For step_order it explains the locking mechanism, the MSMD spine fallback, and the consequences of omitting the field; for action_type it clarifies that each step accepts a subset and that these are enforcement classes, not descriptions of the step's actual work. It also explains sequence_id rewriting and the rule that step must equal function, none of which the schema alone conveys.

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

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

The description opens with a specific verb and resource: 'Ask the AgenticRail gate to ALLOW or DENY a single step of an agent sequence BEFORE it runs.' It clearly distinguishes the tool from its sibling verify_receipt by focusing on pre-execution gate decisions and by pointing to verify_receipt as the consumer of the returned sequence_id, which implies a separate post-hoc verification role.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit when-to-use context: invoke it before each step runs, and 'a denied step must not be executed.' It also provides important operational guidance such as 'a denial is not a reason to start a new one: fix the call instead' and instructs to reuse the returned sequence_id for later steps and verify_receipt. It does not explicitly state when to prefer verify_receipt over this tool, but the boundary is strongly implied.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that this is a fetch/report operation, names the returned verification_status values, lists the per-receipt checks, and explains the offline verification context—far beyond a minimal description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with when-to-call, then moves to return values and trust context. It is longer than strictly necessary—the line about evidence nobody has checked is motivational—but each part adds substantive guidance for correct usage.

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

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

For a simple one-parameter tool with no output schema, the description fully compensates: it explains the input source, the auth requirement, the result fields, the status ranges, and why the evidence is independently useful. An agent has enough information to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds meaning by saying the sequence_id is the one RETURNED by evaluate_step and explaining demo- versus keyed sequences. The schema already covers sequence_id, but the origin and keyless demo- semantics update the agent; slightly more detail would push to 5.

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

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

The description states a specific verb and resource: 'Fetch the verification report for an AgenticRail sequence' and checks whether the receipt chain is intact. It is clearly distinct from evaluate_step, which produces the sequence_id, so an agent can select the right tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use guidance is front-loaded: call after a sequence seals and after any DENY, using the sequence_id returned by evaluate_step. It also gives the demo-keyless vs. Bearer-auth distinction for choosing how to invoke it.

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