get_schematic_model

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. 'Normalized' hints at internal processing but does not explain what normalization entails, whether the operation is read-only, what errors may occur, or what the returned model contains. The description is too sparse for a tool with zero annotation support.

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 a single, front-loaded sentence with no irrelevant details. It is concise and directly states the core purpose, earning a high score for structure despite lacking depth.

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?

Although an output schema exists (which covers return values), the description omits critical context: the meaning of 'normalized', path parameter semantics, and how this tool relates to sibling model-getting tools. For a low-complexity tool this might suffice, but the absence of annotations and parameter documentation makes it incomplete.

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 0%. The 'path' parameter is entirely undocumented in the description; there is no mention of its meaning, format, requiredness, or default behavior. The description adds no value beyond the raw schema, failing to compensate for the lack of schema text.

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 tool's action ('Return') and resource ('normalized schematic model for a DipTrace schematic document'). This is specific and distinguishes it from sibling tools like get_board_model which returns a PCB model.

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?

No guidance is provided on when to use this tool versus alternatives such as get_document_info or get_board_model. The description does not mention use cases, prerequisites, or exclusions, leaving the agent to infer applicability.

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