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

No annotations are supplied, so the description carries the full burden. It makes clear the tool returns fixed reference material ('Return the...framework'), which implies a read-only, side-effect-free operation, but it never states that explicitly, nor does it describe the shape, size, or versioning of the returned content.

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, front-loaded with the concrete payload and followed by the routing rationale. No filler, no repetition of the tool name, and every clause adds either content or usage signal.

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 zero-parameter retrieval tool with no output schema, the description covers what matters: what reference material is returned and why an agent should call it rather than generalize. It could go slightly further by sketching the structure of the returned material, but nothing essential to a correct call is missing.

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 tool takes zero parameters (empty object schema, 100% coverage), so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter-level meaning is missing.

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 opens with a specific verb and enumerates exactly what is returned: the FeDeVi framework, the 2-week validation sprint loop, and the 'Five More' interview framework. That is far more than a restatement of the name. It does not explicitly contrast itself with siblings such as start_validation or list_industry_templates, so it falls short of a 5.

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?

It gives clear usage context: 'Use this to ground answers about how to validate a startup idea correctly (customer discovery, interviews, risky assumptions, pilots) instead of inventing a generic framework.' The 'instead of' clause steers the agent away from improvising, but no sibling alternative is named and no explicit exclusion conditions are stated.

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