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judgment_list

Read-onlyIdempotent

List the authenticated user's own judgments (L3 layer) — use this to check your own blocking status (risk_tier 1 pending = execution blocked). Default order matches the /command queue: risk_tier ascending, then arrival order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoFilter by kind.
limitNoMax rows to return (default 50, max 200).
decisionNoFilter by decision. Omit for all.
risk_tierNoFilter by risk_tier.
project_idNoFilter by project UUID.
subject_idNoFilter by subject UUID (pair with subject_type).
subject_typeNoFilter by subject type.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / $schema
      Added value: +"https://json-schema.org/draft/2020-12/schema"
  2. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover read-only and non-destructive behavior. The description adds useful context beyond annotations, such as the default ordering (risk_tier ascending, then arrival order) and the semantic interpretation of risk_tier 1 pending. No contradiction with annotations.

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 two sentences, tightly worded, and front-loads the primary purpose. Every clause adds value, including the L3 layer qualifier and the ordering note.

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?

Given no output schema and 7 optional parameters, the description sufficiently covers the tool's scope, use case, and ordering. It does not explain the return shape, but the schema covers filters, and the safety profile is fully handled by annotations.

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 description coverage is 100%, so each parameter is already described structurally. The tool description adds no additional parameter-specific detail, though it mentions the overall default order which is related to behavior rather than parameters.

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?

The description states a specific verb ('List') and resource ('judgments') with a clear scope ('the authenticated user's own judgments, L3 layer'). It distinguishes itself from the sibling judgment_submit by being the read-only listing counterpart.

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

Usage Guidelines4/5

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

Provides explicit when-to-use guidance: 'use this to check your own blocking status' and explains the significance of 'risk_tier 1 pending = execution blocked'. However, it lacks explicit when-not-to-use or alternative comparisons.

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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