TwinCAT Validator MCP Server

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

With no annotations provided, the description carries the full burden and successfully discloses complex behavioral traits: stage-dependent routing logic, default value implications ('omitted: defaults to oop'), and parameter interaction effects ('In troubleshooting stage... value has no routing effect'). It lacks explicit safety declarations (read-only status) which prevents a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear Stages/Args/Returns sections and front-loaded with the core purpose. While lengthy, the detail is justified by the complex parameter interactions and conditional logic; every sentence provides necessary behavioral context given the lack of schema annotations.

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

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

For a tool with complex routing logic and 7 parameters, the description is complete. It explains the stage-based workflows, parameter interdependencies, default behaviors, and summarizes the return structure (JSON with effective_oop_policy, entries, etc.), providing sufficient context for correct invocation despite no output schema being provided in the structured fields.

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

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

Despite 0% schema description coverage, the Args section comprehensively documents all 7 parameters. It explains valid values, conditional requirements (e.g., check_ids required/ignored by stage), and semantic intent (e.g., include_examples 'Set False to save tokens'), fully compensating for the schema's lack of descriptions.

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

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

The description opens with a specific verb ('Get') + resource ('curated knowledge base entries and OOP policy') + scope ('workflow stage'), clearly defining the tool's function. It implicitly distinguishes itself from sibling `get_effective_oop_policy` by emphasizing the knowledge base entries and stage-scoping behavior.

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

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

Explicitly defines when to use each stage: 'pre_generation' for 'generating TwinCAT XML from scratch' and 'troubleshooting' for 'blocker lists after orchestration'. It clearly states parameter dependencies (e.g., 'check_ids: required for troubleshooting, ignored for pre_generation'), providing clear guardrails for invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.