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

No annotations are provided. The only behavioral statement, 'Expression discarded', conflicts with the schema, and no side effects, permissions, or return behavior are disclosed.

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 very short but confusing: 'Expression discarded' is ambiguous and the structure does not help the agent map inputs to behavior. It is concise but not clear or well-organized.

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?

There is no output schema, no examples, and no mention of return values, errors, or required inputs. With 9 optional parameters and no annotations, the agent lacks the context needed to use the tool correctly.

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?

Each schema parameter has a description, but those descriptions are unrelated to arithmetic and the tool description does not explain how to supply an expression. The high schema coverage is undermined by the mismatch between the stated purpose and the actual parameters.

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 says it evaluates a+b arithmetic, but the schema has no expression parameter and instead lists 9 unrelated string parameters such as url, city, json, and query. The tool's actual purpose is contradictory and cannot be inferred reliably.

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?

There is no guidance on when to use calc-eval versus the many sibling tools, nor any mention of prerequisites, context, or typical call patterns.

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