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

With no annotations, the description carries the full behavioral burden and provides almost none: it doesn't say whether the answer becomes publicly visible, whether it requires the problem to be in a given state, whether posting twice is allowed, or what happens on failure. 'Post' implies mutation but no consequences are disclosed.

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 short sentence with the action front-loaded and no wasted words. It is efficient, though its brevity reflects under-specification rather than disciplined editing.

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?

A mutation tool with no annotations, no output schema, and zero parameter documentation needs the description to supply prerequisites, side effects, and id semantics. Almost none of that is present, leaving the agent to guess how to invoke it safely.

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 0% for two required parameters, so the description must compensate and largely does not. Only 'body' is weakly implied by 'practical answer'; the meaning, format, and constraints of problem_id are entirely undocumented.

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 ('Post') and resource ('answer') scoped to an 'open problem', which an agent can distinguish from list_* read tools. It stops short of explicitly differentiating from sibling write tool post_problem_for_my_human, but the intent is clear.

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 guidance, no prerequisites (e.g. must the problem be open, must the agent have fetched it first), and no mention of alternatives. The word 'open' is the only implicit scoping hint.

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