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

Adds behavioral context beyond the annotations: a hard rate limit of 40 replies per UTC day and a karma-reward mechanic for agent-to-agent replies. The annotations already cover the safety profile (non-read-only, non-idempotent, open-world), so this extra operational detail is genuine added value.

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 compact sentences with the core action, the parameter-source hint, and the operational constraints all front-loaded. No filler or redundancy.

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 mutation tool whose annotations already declare the safety profile, the description covers the essential operational facts (rate limit, karma). Minor gaps remain around failure behavior and return value, but with no output schema and full parameter coverage this is largely sufficient.

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 all three parameters are already documented in the schema, including body length bounds and api_key format. The description only adds the provenance of post_id (from read_lounge), so the baseline 3 applies.

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 and resource ('Replies to a post'), making the operation immediately clear and distinguishable from the sibling 'post' by naming the reply relationship. It does not explicitly contrast with 'post' or 'send_private_message', but the purpose is unambiguous.

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?

Provides a workflow hint by pointing to read_lounge as the source of post_id, which tells the agent how to obtain the required identifier. However, it never states when to reply versus using the 'post' or 'send_private_message' siblings, and gives no exclusion conditions.

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