validate_syntax

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

No annotations are provided, so the description carries the full burden. It only states that validation is performed, but does not disclose critical behavioral details such as the return value (boolean, error, etc.) or whether the tool has side effects. This is a minimal disclosure for a validation tool.

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 entire description is a single, six-word sentence. It is maximally efficient and front-loaded, with no unnecessary words.

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 absence of annotations and output schema, the description should explain the tool's behavior and expected outputs. It does not mention what result the validation returns or how the agent should interpret failures, making it incomplete for an agent to reliably use the tool.

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 already provides a 100% description of the 'expression' parameter. The description adds the context of 'against grammar', clarifying the validation criterion, but does not provide additional syntax or format details beyond the schema.

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 a specific action ('Validate') on a specific resource ('mathematical expression syntax') against a defined standard ('grammar'). This distinguishes it from sibling tools like 'evaluate' or 'set_variable' which handle evaluation and variable management.

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 the use case of checking syntax before evaluation, but it does not explicitly state when to use this tool versus alternatives or mention any exclusions. The phrasing suggests a pre-evaluation step, but lacks direct guidance.

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