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

Annotations already declare destructiveHint=true and idempotentHint=true, so the safety profile is covered; the description adds genuinely new behavior — the AI scorer's evaluation criteria are resynced when a live agent exists. That is a non-obvious side effect worth surfacing. It does not say what happens to the previous questions or what an error looks like, so it stops short of a 5.

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?

Front-loaded with the operation and scope, then constraints, then the side effect — a sensible ordering with no filler. The middle sentence duplicates schema constraints (minLength 1, maxItems 15), which is the only wasted space.

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 two-parameter destructive replace with no output schema, the description covers scope, item shape, limits, and the downstream scorer resync — enough to call it correctly. It omits failure conditions and permission requirements, a minor gap given the annotation coverage.

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 nested item fields (question, expectedAnswer, isKnockout) are already documented, including minLength and maxItems. The description's 'non-empty prompt / non-empty expected answer / knockout flag' and 'Maximum 15' restate those constraints rather than adding new meaning, so 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 ('Replace') plus the exact resource ('full list of interview questions for the screening of a job position'), and the word 'full' immediately separates it from the field-level siblings add_screening_form_field, update_screening_form_field and reorder_screening_form_fields. An agent can pick this tool over those without opening any schema.

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?

Replacement semantics imply the usage context (use when rewriting the whole question set), but the description never explicitly says when to prefer this over update_screening_form_field or add_screening_form_field, nor does it state prerequisites such as the job needing an existing screening config. Usage is inferable rather than stated.

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