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

The readOnlyHint annotation already marks this as safe, and the description adds value beyond that by disclosing the project-context dependency (set_context prerequisite) and the composed nature of the returned statistics. No contradiction with annotations.

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?

Two sentences with zero filler: the first delivers the full purpose and return contents, the second adds the prerequisite. Every word earns its place and the key information is front-loaded.

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 parameterless, read-only tool with no output schema, the description covers what is returned and the required precondition. It is nearly complete; the only minor omission is describing the shape of 'project info', but that is not critical for a no-parameter dashboard summary.

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?

There are zero parameters and schema coverage is 100%, so the structured schema leaves nothing undocumented. The description's mention of 'active project' implies the parameterless operation depends on previously set context, adding meaning above and beyond an empty input schema. Baseline 4 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?

States a specific verb ('Get dashboard statistics') with a clearly defined resource and scope ('for the active project'), and enumerates exactly what it returns: spec count, environment count, and project info. This aligns with the title and distinguishes it from the many other get_* siblings by pinning down its unique payload.

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?

Explicitly names the prerequisite ('call set_context first'), which is genuine usage guidance that an agent must follow. It lacks explicit when-not-to-use or alternative routing, but for a tool with no alternatives serving this exact purpose, the prerequisite guidance is the key context and it is present.

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