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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and a closed-world scope, so the safety profile is fully covered by structured data. The description adds the segmenting dimensions and the metric set (counts, average completion progress), which is useful context for interpreting output. It does not state the default filtering of archived responses or anything about latency/auth, so it is a modest add.

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?

A single front-loaded sentence that states the segmenting dimension first and the returned metrics second, with no filler or redundant restatement of the title. Nothing could be removed 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?

The tool is simple (one required parameter), safety behavior is carried by annotations, and an output schema exists so return values need no prose explanation. The description covers the subject matter and metrics adequately; the only real gap is the absence of any usage routing against related breakdown/stats tools.

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 description contributes nothing about either parameter. Schema coverage is 50%, but the undocumented parameter (projectId) is self-evident, while includeLowQuality carries a strong schema description with an explicit 'ONLY when...' conditional. Effective coverage is therefore high enough that the baseline of 3 is appropriate rather than demanding compensation in prose.

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 the specific resource (a project's responses) and the exact breakdown dimension (collection channels), even enumerating the channel values and the metrics returned (counts, average completion progress). It is clearly distinguishable from siblings like question_breakdown or project_stats. It stops short of explicitly contrasting itself with those siblings, so it is clear but not fully differentiated.

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 when-to-use or when-not-to-use guidance: nothing says to reach for channel_breakdown rather than question_breakdown, project_stats, or recent_responses. The only conditional behavior (default exclusion of low-quality responses) lives in the schema, not the description, so the description offers no routing help.

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