UpMath MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'attempting to render' as the validation method, but doesn't describe what happens during rendering (e.g., whether it's a dry run, what errors are returned, performance characteristics, or rate limits). For a validation tool with zero annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with every element serving a clear purpose.

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 (validation through rendering), lack of annotations, and no output schema, the description is minimally adequate but incomplete. It explains what the tool does but doesn't cover behavioral aspects like error handling, output format, or performance considerations that would be helpful for an agent.

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 schema description coverage is 100%, with the single parameter 'latex' documented as 'LaTeX to validate.' The description adds no additional parameter semantics beyond what the schema already provides. According to the rules, when schema coverage is high (>80%), the baseline is 3 even without parameter details in the description.

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: 'Check if LaTeX syntax is valid by attempting to render it.' This specifies the verb ('check'), resource ('LaTeX syntax'), and method ('attempting to render'). However, it doesn't explicitly differentiate from sibling tools like 'validate_equations' or 'scan_document_math', which appear related to validation tasks.

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 provides no guidance on when to use this tool versus alternatives. With sibling tools like 'validate_equations' and 'scan_document_math' that might overlap in functionality, there's no indication of when this specific syntax check is appropriate, what prerequisites exist, or when other tools should be preferred.

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