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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds nothing behavioral beyond that — no mention of pagination behavior, result ordering, or what the query scope actually returns — so it contributes little on top of structured data.

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 front-loaded sentence with no redundant filler, which is appropriately sized for this tool. The phrasing is more marketing copy than specification, but nothing is wasted or buried.

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?

An output schema exists, so return-value explanation is not required, and annotations cover the read-only nature. However, for a four-parameter paginated list tool with a similarly named sibling, the description omits list semantics and sibling differentiation, leaving a real gap.

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 description coverage is 100%, so each of the four parameters is already documented, and convention sets the baseline at 3. The description loosely maps its domain list (CBDC, DevOps, FinTech, Cloud Engineering) onto the tech/category filters, but adds no syntax, default, or combination guidance beyond the schema.

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 verb 'Query' and the domain-flavored resource ('verified enterprise production case studies, system blueprints, and business metrics') gesture at the content, but never plainly state that this returns a list of projects. It also fails to distinguish itself from close siblings like get_project_by_slug, so an agent cannot route confidently from the description alone.

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?

There is no when-to-use guidance, no mention of when to prefer get_project_by_slug or search_knowledge_base, and no stated prerequisites. The reader is left to infer usage entirely from the name and schema.

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