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

The description says the tool 'adds' answers to the work record, i.e. it mutates stored state, while the annotations declare readOnlyHint=true and destructiveHint=false. That is a direct conflict between the stated behavior and the structured safety metadata. The only genuinely additive behavioral detail is the return contract (open questions vs. research), which is undercut by the contradiction.

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 tight sentences with no filler, and the core action is front-loaded before the return behavior. It could be marginally shorter, but every clause carries information an agent can use.

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 a 2-parameter but deeply nested schema (16 answer objects) and no output schema, the description does cover the return values and the iterative workflow role, which is the main thing an agent needs. However, for a state-mutating step in a multi-tool workflow it omits sequencing/prerequisites and leaves the readOnly conflict unresolved, so it is only adequately complete.

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 every nested answer object carries its own question text and enum values, so the schema does the heavy lifting. The description adds no parameter-level meaning beyond echoing the notion of a 'work record'; baseline 3 is appropriate when the schema fully documents the inputs.

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: it adds the user's answers to the clarifying questions into the work record, and it also declares what the tool hands back (open questions, then the required research). An agent knows exactly what the tool does, though it never names a sibling (e.g. work_record, record_research) to disambiguate against the similar-sounding tools in this family.

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 statement that it returns the questions still open, or the research once all are answered, tells the agent this is called iteratively during the clarifying-questions loop. There is no explicit when-to-use, no precondition (e.g. 'call after get_started returns a record'), and no mention of alternatives such as work_record.

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