QTM4J: Get Projects

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds substantial behavioral context beyond these: it details pagination behavior (zero-indexed startAt, maxResults cap of 100, default pagination, 'isLast' field for continuation), explains how to iterate pages, and notes that the response includes 'total' count. It also mentions validation of project access. No contradictions 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?

The description is long and detailed but well-structured with sections for parameters, output, use cases, examples, and hints. Every section adds value, but some repetition exists (use cases overlap with examples). For a tool with multiple filtering options and pagination, the length is justified; however, it could be slightly trimmed without losing information.

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?

Given the tool complexity (5 optional parameters, pagination, output schema exists), the description is fully complete. It explains all input parameters, provides comprehensive examples covering all common scenarios, details the output structure and pagination metadata, and offers usage hints. No gaps remain for successful invocation.

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 100%, so baseline is 3, but the description significantly enhances parameter understanding. It lists all 5 parameters with clear textual descriptions, provides 7 examples combining different parameters, and includes hints that clarify usage nuances (e.g., project IDs are numeric, search applies to key or name, pagination details). This goes well beyond the schema's minimal descriptions.

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 states 'Get all projects from QTM4J with optional filtering', which specifies the verb ('Get'), resource ('projects from QTM4J'), and scope ('all', with optional filtering). It also explicitly labels the toolset as 'Projects', distinguishing it from sibling tools that deal with test cases, cycles, or settings.

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 description provides 9 concrete use cases and 7 examples, making it clear when to invoke the tool (e.g., discover projects, get IDs, filter by criteria). It does not explicitly exclude alternative tools or specify when not to use it, but the use cases are comprehensive enough to guide selection.

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