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

With no annotations provided, the description carries the full burden of explaining behavior. It does disclose the key output fields (name, description, status, elements) and the structured nature of the result. However, 'AI-optimized' and 'Layer 1' are vague and unexplained, and there is no mention of output shape, nesting, or what distinguishes this from a raw project fetch.

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 compact and places the core purpose first, listing concrete fields without repeating the tool name. The 'Layer 1' parenthetical is cryptic and adds little value, but it does not severely harm overall conciseness.

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 one-parameter tool with no output schema and no annotations, the description gives a reasonable sense of what is returned but not enough to fully predict the response. The lack of differentiation from sibling get_project and the unexplained 'Layer 1' terminology leave gaps in completeness.

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 schema covers the single parameter projectId with 'Project ID', achieving 100% schema description coverage. The tool description adds no additional meaning about the parameter, so the baseline score of 3 applies.

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 indicates the tool provides an AI-optimized project summary containing name, description, status, and elements, which goes beyond the name alone. It does not explicitly differentiate from sibling get_project, but it does describe a distinct, structured, agent-focused view.

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 phrase 'as structured context for agents' implies when this tool should be used: when an agent needs a compact, AI-friendly summary rather than a raw project object. However, it does not explicitly contrast with alternatives like get_project, get_snapshot, or search_project, leaving the routing decision partially to inference.

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