models_standards

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

No annotations are provided, so the description carries the full burden. It does disclose the mandatory pre-call requirement and that output varies by category/listCategories, but says nothing about the response shape, size, or whether the guidance is authoritative/binding.

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?

Three short sentences, with the critical 'Must be called before creating or modifying models' constraint front-loaded and the warning emoji reinforcing urgency. Slightly redundant between the warning label and the sentence itself, but no real waste.

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?

For a two-parameter, zero-required read tool with no output schema, the description covers purpose, the mandatory-usage constraint, and the filtering modes. The only real gap is what the returned standards actually look like, which is a minor omission here.

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 100%, so both parameters are already documented in the schema and the baseline is 3. The description's 'retrieve all standards or filter by specific category' restates the schema behavior without adding format or syntax detail.

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?

States a specific verb and resource: it returns model development standards and best practices, with the option to filter by category. The resource ('models') distinguishes it from the sibling standards tools (angular_component_standards, design_system_standards, etc.), though it never names an alternative explicitly.

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?

Gives a clear precondition: it must be called before creating or modifying models, which is exactly the trigger an agent needs. It does not state when NOT to use it or point to a specific sibling tool, so it stops short of a 5.

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