set_param

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

With no annotations, the description adds behavioral info: it says the tool 're-evaluates the storyboard live' and 'persists,' indicating side effects. However, it does not mention potential errors, reversibility, or dependencies, leaving gaps in transparency.

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, concise sentence with no wasted words. It front-loads the core action and adds key behavioral details efficiently.

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 no annotations, no output schema, and minimal parameter info, the description is insufficient. It does not explain the tool's place among siblings, expected return, or parameter format, leaving significant gaps.

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 coverage is 0%, but the description does not explain the meaning of key, value, or algorithm. The agent cannot infer valid values or constraints from the description alone, severely hampering parameter understanding.

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 action is setting a param value in an algorithm review, with details about live re-evaluation and persistence. It differentiates from sibling set_ tools by specifying the context (algorithm review) and the effect (re-evaluates storyboard). However, it could be more explicit about what 'param' refers to.

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 provided on when to use this tool versus alternatives, such as when not to use it or which tool to use for batch updates. The description lacks any usage context or preconditions.

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