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

With no annotations, the description carries the full behavioral burden. It implies mutation ('Create') and a generative prompt input, but discloses nothing about side effects, authentication needs, reversibility, or what 'shell' produces versus a built project.

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?

A single tight sentence with the action front-loaded and zero filler. It is efficient, though its brevity reflects under-specification rather than deliberate economy.

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 mutation tool with no annotations, no output schema, and 0% parameter coverage, the description is far too thin. An agent cannot tell what the returned project shell contains, what happens next, or how the two parameters behave.

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% and neither parameter is documented in the schema. The description only implies the 'prompt' parameter ('from a prompt') and says nothing about 'model', leaving the agent to guess its meaning and valid values.

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 ('Create') and resource ('Codebase project shell'), which clearly distinguishes it from read-oriented siblings like codebase_get_project and codebase_list_projects. The term 'shell' is slightly opaque (does it scaffold empty files, or generate code from the prompt?), but the core action is unambiguous.

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 when-to-use guidance and no mention of alternatives or prerequisites, despite siblings like codebase_start_build and codebase_deploy that an agent would need to sequence after creation. The agent must infer that this is the entry point for a new project.

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