get_channel_stats

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

No annotations are present, so the description bears full responsibility for disclosing behavioral traits. It does not mention read-only status, data freshness, pagination, error handling, or permission requirements. The agent has no indication of side effects or limitations.

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 a single, front-loaded sentence that immediately conveys the tool's purpose and outputs. Every word contributes meaning, with no redundancy or filler.

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?

Given the tool's simplicity (one parameter, no output schema), the description adequately covers what the tool returns. However, it omits details like data scope (e.g., time range, aggregation level) and potential prerequisites (e.g., channel existence). Still, it is largely complete for a basic stats tool.

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 schema already describes the sole parameter 'channel_id' as 'Channel ID', and schema coverage is 100%. The description does not add further semantic detail (e.g., format, expected range, or how to obtain the ID). It meets the baseline but adds no extra value.

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 clearly states the tool retrieves channel statistics, listing specific metrics (message counts, spam rate, importance distribution, topic breakdown). This differentiates it from sibling tools like get_channel_analytics or get_channel_influence, which may have overlapping but distinct purposes.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., get_channel_analytics, get_spam_stats). There is no mention of context, prerequisites, or when not to use it. The description assumes the agent will infer usage solely from the purpose.

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