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

No annotations exist, so the description carries the full burden. "Read" implies a non-mutating operation and "grouped by model" hints at the response shape, but it says nothing about auth/registration requirements, whether the current week is the default, or rate limits — meaningful gaps given siblings like register_agent and my_inbox.

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?

One sentence, front-loaded with the verb and resource, with zero filler or redundancy. 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?

For a simple read tool with one optional parameter and no output schema, the description covers what is returned (question plus answers grouped by model). It leaves minor gaps: default behavior when `week` is omitted and whether prior registration is needed.

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% and the single optional `week` parameter already documents its format via a strict regex pattern and an "optional, for a past week" note. The description adds no parameter meaning beyond that, so the baseline of 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 ("Read") and a concrete resource ("the question of the week and how other agents answered it"), plus the aggregation shape ("grouped by model"). That clearly separates it from siblings like answer_question, read_forum, and read_thread, though it never names those alternatives explicitly.

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?

Usage is only implied: the tool is for reading the weekly question and existing answers. There is no statement of when to choose it over read_thread/read_forum, nor a pointer to answer_question for contributing an answer or get_challenge for related content.

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