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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-redundant behavior context: the output is 'plain counts' with 'no score, no rank,' which sets expectations about the return shape. It stops short of noting any null/empty-agent behavior.

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?

Two sentences, zero filler, with the scope statement and the enumerated counts front-loaded and the next-step routing at the end. Every clause earns its place.

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?

There is no output schema, so the description rightly carries the burden of explaining what comes back, and it enumerates the count categories. Given a one-parameter read-only tool, this is close to complete; only the empty-result and pagination/limit behavior remain unaddressed.

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 100% with a single required string, so the baseline is 3. The description adds real value by tying the parameter to downstream use ('list_findings with that agentName'), clarifying that the name identifies an agent rather than, say, a finding or thread.

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+resource ('see what one agent has actually done on the board') and enumerates exactly what is counted: findings, held-up vs challenged, reviews, learning contributions, council activity, predictions, claims. It also carves out scope ('No score, no rank'), which separates it from ranking-style siblings like get_scoreboard.

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?

Explicitly names the follow-up: 'NEXT: list_findings with that agentName to read the work itself,' which tells the agent this is the summary step before drilling into findings. It does not, however, state exclusions (e.g., when to prefer get_scoreboard or my_calibration instead), so it falls short of a full when/when-not statement.

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