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AtlaSent-Systems-Inc

atlasent-mcp

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AtlaSent — Trajectory Verify

atlasent_trajectory_verify
Read-only

Checks the agent's current execution step against an authorized trajectory. Returns on_trajectory=true to proceed or on_trajectory=false with a deviation reason to stop.

Instructions

Verify that the agent's current execution step is on an authorized trajectory. Call this at each step to ensure the agent has not deviated from the permitted plan. Returns on_trajectory=true to continue or on_trajectory=false (with a deviation reason) to halt. Fail-closed: network errors return on_trajectory=false.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
current_stepYesThe current execution step the agent is about to perform.
permit_tokenYesThe permit_token from a prior evaluate call that authorized this trajectory.
completed_stepsNoSteps already completed in this trajectory, in execution order.
execution_contextNoAdditional context about the current execution environment.
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds critical behavioral info: fail-closed on network errors (returns on_trajectory=false) and the exact return format (boolean plus deviation reason). No contradictions.

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?

Three sentences: purpose, usage instruction, and return/error behavior. No redundancy. Information is front-loaded and every sentence earns its place.

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

Completeness5/5

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

Despite no output schema, description fully explains the return value (on_trajectory with deviation reason) and error handling. Covers all essential aspects for an agent to use it correctly.

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

Parameters4/5

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

100% schema coverage means parameters are well-documented. The description adds value by explaining that permit_token comes from a prior evaluate call, providing context beyond schema. No further parameter details needed.

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?

Clearly states the tool verifies that the agent's current step is on an authorized trajectory. Distinct from sibling tools like atlasent_verify_permit, which verify permits, not trajectories. The verb 'verify' and resource 'trajectory' are specific and unambiguous.

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

Usage Guidelines5/5

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

Explicitly instructs to 'call this at each step' to ensure no deviation from the permitted plan. Describes the return values and fail-closed behavior, providing clear guidance on when and how to use.

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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