validate_robot_framework_syntax

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 value by specifying that it 'does not execute code' and returns a 'validation report as text,' which clarifies it's a read-only, non-destructive analysis tool. However, it doesn't cover aspects like error handling, performance limits, or authentication needs, leaving gaps in behavioral context.

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 highly concise and front-loaded, consisting of two clear sentences that directly state the tool's function and key behavioral trait. Every word earns its place, with no redundant or unnecessary information, making it efficient and easy to parse.

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 moderate complexity (syntax validation), no annotations, and an output schema (which likely handles return values), the description is partially complete. It covers the core purpose and non-execution behavior but lacks details on parameters, error cases, or integration with sibling tools, leaving room for improvement in overall context.

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?

The input schema has 0% description coverage, with one parameter 'robot_code' undocumented in the schema. The description adds no information about this parameter (e.g., format, examples, or constraints), failing to compensate for the schema's lack of detail. This leaves the parameter's meaning unclear beyond its name.

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 purpose: 'Validate Robot Framework syntax and provide suggestions.' It specifies the verb (validate), resource (Robot Framework syntax), and outcome (suggestions). However, it doesn't explicitly differentiate from sibling tools (e.g., creation tools), which are focused on generating tests rather than validating syntax, so it falls short of a perfect score.

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 stating it 'does not execute code,' suggesting it's for static analysis rather than runtime testing. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., for syntax checking vs. creating tests with sibling tools) or any prerequisites, leaving usage context somewhat vague.

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