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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, and the description correctly stays consistent with a safe read. It adds genuine context beyond annotations: pagination mechanics via next_cursor, the meaning of done_issues (done-category statuses), active_sprints only existing for scrum with possible multiple running sprints and empty on kanban/pipeline, and updated_at being nullable. However, it says nothing about ordering, default page size (limit is only in the schema), or whether membership scope changes results.

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?

Front-loaded with purpose, then pagination, then the stats trade-off, then the docs pointer — a sensible ordering with no filler sentences. The stats enumeration is dense and long, but each field named carries real information; minor cost is that the single paragraph is hard to scan.

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?

No output schema exists, so the description carries the return-shape burden and does so: it explains the base payload (project keys), the optional stats sub-object field by field, and the null case for updated_at. Combined with pagination and the docs follow-up, an agent has everything needed to call it correctly and interpret the result.

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 67%, and the description compensates well for the undocumented parts: cursor is explained as coming from the previous page's next_cursor, and stats is unpacked far beyond the schema's one-liner including the full shape of each stats item. limit remains unexplained in both places, though its 1–200 bounds and default 50 are self-documenting in 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 first line states a specific verb and resource with scope ('projects you are a member of'), which cleanly separates it from get_project (single project), get_project_insights, and the other list_* siblings. The follow-on line establishes that the returned project keys are the currency used by every other tool, making the tool's role in the workflow unambiguous.

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?

Explicit when-to-use: pass stats:true for a portfolio overview and specifically 'instead of searching each project', and leave it off when only keys are needed — a stated exclusion, not just a suggestion. It also names the follow-up path (get_project docs.read_first / get_docs_context) before starting work, so the agent knows the next call in the sequence.

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