OrcaSlicer 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 of behavioral disclosure. It adds useful context about the dry_run behavior (saving to a tuned copy vs. overwriting), which is a key trait. However, it lacks details on permissions, error handling, or response format, leaving gaps for a mutation tool. No contradiction exists as annotations are absent.

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 front-loaded with the core purpose and includes a crucial behavioral detail in a single, efficient sentence. Every word earns its place, with no redundancy or unnecessary elaboration, making it highly concise and well-structured.

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?

Given the tool's complexity as a mutation tool with 5 parameters and no output schema, the description is moderately complete. It covers the purpose and key behavior (dry_run), but lacks details on return values, error cases, or integration with sibling tools. With no annotations, it should do more to compensate, but it's adequate for basic understanding.

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?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema by reiterating the dry_run default behavior, but doesn't provide additional meaning or examples for parameters like 'type' or 'value'. Baseline 3 is appropriate given high schema coverage.

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 clearly states the verb 'update' and the resource 'a single setting key in a profile', making the purpose specific and understandable. However, it doesn't explicitly differentiate this tool from potential siblings like 'search_settings' or 'get_profile_content', which might handle similar profile data but with different operations.

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?

The description implies usage by mentioning the default behavior (dry_run=true saves to a tuned copy), which suggests this tool is for modifying profile settings. However, it doesn't provide explicit guidance on when to use this vs. alternatives like 'search_settings' or 'list_profiles', nor does it specify prerequisites or exclusions, leaving the context somewhat vague.

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