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Reality Graph Verification Tools

Check release readiness

check_release_readiness
Read-only

Return GO, CONDITIONAL, or NO_GO from supplied acceptance-criterion results, check evidence, rollback, monitoring, limitations, and independent review. The verdict is deliberately based only on supplied evidence; this tool does not inspect code, CI, or a deployment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoResponse language (default: en)
checksYes
rollbackYesCurrent rollback or recovery state
blast_radiusYesLargest expected impact boundary
change_typesYesTechnical and risk-relevant change types
change_summaryYesPlain-language summary of the change
rollback_readyYes
monitoring_readyYes
independent_reviewYes
acceptance_criteria_failedYes
acceptance_criteria_passedYes
known_limitations_recordedYes
acceptance_criteria_not_runYes

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable context: the verdict is based only on supplied evidence and the tool does not inspect code/CI/deployment, which further clarifies its safe, read-only nature. This goes beyond what annotations provide.

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, front-loaded with the core output (verdicts), then immediately clarifies scope. No unnecessary words. Every sentence adds value.

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

Completeness3/5

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

The description explains the tool's purpose and limitations but does not explain how the verdict is determined (e.g., thresholds for GO/NO_GO) or detail all required inputs. With 12 required parameters and no output schema, more information about the decision logic would be beneficial.

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 low (38%). The description mentions 'acceptance-criterion results, check evidence, rollback, monitoring, limitations, and independent review' which maps to some parameters but does not detail each of the 13 parameters. It provides a high-level mapping but insufficient detail for an agent to understand all inputs.

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 clearly states the tool returns one of three verdicts (GO, CONDITIONAL, NO_GO) based on supplied evidence, and explicitly distinguishes itself from tools that inspect code/CI/deployment. This differentiates it from sibling tools like search or fetch.

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?

The description states the tool is for use when acceptance-criterion results, check evidence, rollback, monitoring, limitations, and independent review are available. It explicitly says what it does NOT do (inspect code, CI, deployment), providing clear when-not-to-use guidance. However, it does not mention alternative sibling tools for those cases.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, ranging from capacity planning to template generation and validation. There is no functional overlap; even the two template tools (get_task_contract_template and get_verification_report_template) serve different artifacts.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using lowercase with underscores. Verbs like calculate, check, fetch, get, lint, plan, search, and validate clearly indicate actions, and the nouns are specific and singular.

Tool Count5/5

With 10 tools, the surface is well-scoped for the domain of AI coding verification. Each tool addresses a specific task without redundancy, and the count feels appropriate for a focused but complete tool suite.

Completeness5/5

The tool set covers the full lifecycle of verification: planning (plan_change_verification), specification (get_task_contract_template, lint_task_spec, validate_task_contract), execution (check_release_readiness, check_verification_debt, calculate_verification_capacity), and reporting (get_verification_report_template, fetch, search). No obvious gaps are evident.

Resources