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

With no annotations provided, the description carries the full behavioral burden, but it does not explain overwrite semantics, required permissions, whether existing notes are replaced, or what happens on success/failure. It only says the tool updates or sets notes and pins them on the dashboard banner.

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 definition is short and front-loaded, with purpose first and usage guidance second. The uppercase guideline phrasing is slightly verbose, but there is little wasted text.

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 simple two-parameter update tool with no output schema, the description covers purpose and basic usage. It remains incomplete for a mutation tool with no annotations because it omits overwrite behavior, permissions, and response expectations.

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 the schema already documents both projectId and userNotes. The description reinforces the resource and notes concept but adds no format, length, or syntax details 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 description names a specific verb and resource: updating or setting AI Context Notes for a project workspace. It is distinguishable from siblings like get_project_context and create_project, though it does not explicitly contrast itself with any alternative.

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: call this tool to pin key context on the user's dashboard banner. However, it does not state when not to use the tool or name alternatives such as get_project_context.

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