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

Annotations declare readOnlyHint=false and idempotentHint=false; the description adds the practical safeguard that a fresh requestId reused on retry prevents a duplicate project, which is real operational context beyond the annotations. It does not contradict idempotentHint=false (server-side idempotency is not assumed; the client supplies the key) and adds retry semantics plus workflow ordering.

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 the core create statement, then workflow guidance. Every sentence is actionable, though the middle sentences on suggest_brand_names and list_untracked_competitors make it fairly dense for a single paragraph.

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?

With an output schema present, return values need no explanation, and the description covers the creation inputs, retry/idempotency behavior, and cross-tool sequencing. It stops short of stating permission or organization-scope requirements, but otherwise an agent has what it needs to call this correctly.

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 50%, and the description compensates by explaining what brandNames and websiteDomains represent in the monitoring context, plus the requestId retry rule ('reuse it only to retry this same call'). organizationId and name are left to the schema but are self-evident.

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 and resource (create a project that monitors a brand) and enumerates the core inputs: website domains, brand names, optional competitors. It also explicitly distinguishes itself from create_tracked_queries, which handles the follow-up step, so an agent can place it in the workflow without opening sibling schemas.

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?

Gives explicit sequencing and alternatives: gather inputs from suggest_brand_names, propose everything to the user at once, add queries later with create_tracked_queries, and check list_untracked_competitors after the first run. It even notes no tool finds competitors, closing an obvious agent question.

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