get_sequence_count

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only indicates a read-style 'get' operation and does not state return format, whether the count is for the current project or all open projects, or any edge cases such as zero sequences.

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 short, but brevity here is under-specification rather than effective conciseness. The phrase 'expanded operation' adds no value, and the meaningful content is just the tool name restated.

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 zero-parameter, no-annotation tool with no output schema, the description should at least state what the returned count represents and its scope. It does neither, leaving the agent to infer the meaning and return type.

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?

The tool has zero parameters, and the rubric gives a baseline of 4 for such tools. The description does not need to explain parameters because there are none to explain.

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 essentially restates the tool name: 'get sequence count' adds no new information beyond the name itself. 'Premiere Pro expanded operation' is generic filler and does not differentiate this from siblings like list_sequences or get_sequence_in_out_points.

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 guidance on when to use this tool versus alternatives. It does not mention that list_sequences provides sequence details, that get_active_sequence focuses on the current sequence, or any conditions that would make this count operation preferable.

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