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it_ops_analysis_review

Destructive

Analyze IT operations by running the analysis_review action through the domain agent, using a message and optional structured inputs.

Instructions

Run the it_ops domain agent action analysis_review.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already carry destructiveHint=true, readOnlyHint=false, and idempotentHint=false, but the description adds no side-effect or safety context. It only states that it routes through the domain-agent dispatcher under JWT, tenant, and company scope. The name 'analysis_review' weakly implies a benign review activity, which slightly tensions with the destructive annotation, though there is no direct contradiction.

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?

The description is compact and efficiently organized: a one-line action statement, a short routing note, and a clear args list. There is no fluff or repetition. It loses a point only because the brevity sacrifices substantive content.

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

Completeness2/5

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

For an opaque tool name with heavy sibling overlap, the description is incomplete. It does not explain what analysis_review analyzes or returns, when to invoke it, or what destructive side effects the annotation implies. The output schema and annotations provide some coverage, but the core selection and invocation semantics are missing.

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?

The input schema has 0% description coverage, so the description must carry the param semantics. It does provide basic meanings: message is a free-text objective and inputs is an optional JSON string of structured inputs. However, it gives no examples, no expected JSON shape, and no guidance on how to phrase the objective, leaving substantial ambiguity.

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

Purpose2/5

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

The description mostly restates the tool name: 'Run the it_ops domain agent action analysis_review.' It does not explain what analysis_review actually does, what domain object or result it touches, or how it differs from similar siblings like it_ops_design_review or it_ops_testing_review. The routing and scope details are implementation context, not purpose.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool versus alternatives. The sibling list includes many it_ops review and dispatch tools, but the description never says what kind of analysis is appropriate for this action, when it should be preferred, or when it should be avoided. No exclusions or alternative conditions are provided.

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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