register_model

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

Despite having no annotations, the description discloses key behaviors: upsert semantics, persistence to a YAML file, the fuzzy-matching algorithm, and the caveat that bring_up goes stale. It clearly indicates mutation and side effects. It omits auth/permission requirements and error scenarios, but the disclosed details are substantial.

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 front-loaded with the core purpose, then breaks down parameters with clear rationale. Each sentence adds value, though it is somewhat long. The structure is logical and efficient, with no wasted 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 tool's complexity (8 params, matching algorithm, overrides) and lack of annotations, the description covers most operational aspects: required field, matching behavior, param purposes, and a caveat. The omission of tags and lack of error/edge-case discussion are gaps, but the output schema presumably covers return values. Overall, it is largely complete for an agent to invoke 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?

With 0% schema description coverage, the description explains most parameters (name matching, host/notes relay, served_name, endpoint, context, bring_up) with usage context. However, the 'tags' parameter is completely ignored, leaving one of eight parameters undocumented. The detail given for the others is strong and compensates for the schema gap.

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?

Clearly states a specific action ('Add or update a model in the pool') with a concrete resource and persistence detail ('persisted to models.yaml'). The verb+object is unambiguous and distinct from sibling tools like register_endpoint.

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 when to use the tool (to add or update a model) but does not explicitly contrast it with alternatives such as register_endpoint or request_model. No when-not-to-use guidance, prerequisites, or conditions that select this tool over siblings are provided.

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