log-logged-model-params

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

No annotations are present, and the description provides no information about behavioral traits such as whether parameter logging is additive, overwrites existing keys, or requires specific permissions. For a mutation operation, this is a significant gap.

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 extremely concise (one sentence) but lacks structure and important context. While brevity is valued, it sacrifices clarity and completeness, making it minimally acceptable.

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 lack of annotations, output schema, and the complexity of logging parameters to a model, the description is critically incomplete. It does not explain return values, error conditions, or how the logging interacts with existing parameters.

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 covers two parameters with 50% description coverage (only 'params' has a description). The description does not add any meaning beyond what the schema provides, e.g., it does not explain 'modelId' or the fact that 'params' is an array. The parameter documentation is adequate but not enhanced.

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 'Log parameters on a LoggedModel' clearly identifies the action (logging) and the target (a LoggedModel). However, it does not differentiate from sibling tools like 'log-param' or 'log-batch', which could cause confusion about whether to use this tool for single or multiple parameters.

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 is provided on when to use this tool versus alternatives like 'log-param', 'log-batch', or 'log-metric'. There are no prerequisites, exclusions, or context about appropriate use cases.

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