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AtlasClose Governance Demo

Human action required

atlas.human_action_required
Read-onlyIdempotent

[NEEDS ADMISSION: enroll, then atlas.bind_actor] Whether a Human decision is pending.

Input Schema

NameRequiredDescriptionDefault
matter_idNoId of the matter you are admitted to (returned by atlas.bind_actor). Optional when you are bound to exactly one matter.
actor_tokenNoYour credential from atlas.enroll or atlas.authenticate. Send it on every call after enrolling.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable context beyond annotations: the admission prerequisite chain (enroll, then bind_actor) required before this call will be meaningful.

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?

Extremely short and front-loaded: prerequisite first, then the purpose. The bracketed notation is slightly cryptic, but every clause earns its place with no filler.

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?

For a simple read-only, non-destructive status check with 0 required parameters and 100% schema coverage, the description supplies the essential prerequisites and the core return meaning ('whether a Human decision is pending'). There is no output schema, but the one-line purpose effectively conveys what the agent gets back.

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?

Schema coverage is 100%, so matter_id and actor_token are already fully documented in the input schema, including the 'optional when bound to exactly one matter' nuance. The description adds no parameter meaning beyond the schema, which is the correct baseline of 3 when the schema does the heavy lifting.

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 states what the tool determines (whether a Human decision is pending), which is a specific resource/state check. The verb is implicit rather than explicit, and no sibling is named for differentiation, but an agent can tell this is a status query about pending human decisions.

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?

Usage is implied by the name and purpose, and the tool routes the agent to its prerequisite siblings (atlas.enroll, then atlas.bind_actor). However, it gives no explicit when-to-use vs alternatives guidance and no exclusion conditions, so it is minimum-viable rather than strong.

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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