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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that — no mention that this is a partial update with all fields optional, what the new values affect (match results), or whether omitted fields are preserved.

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 short sentence with no wasted words, but the brevity is under-specification rather than economy. There is no front-loaded scope or constraint to anchor the agent.

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 5-parameter mutation tool with zero schema descriptions, the description should carry the burden of explaining the fields and the partial-update semantics. An output schema exists, so return values need not be explained, but the input side is entirely undocumented.

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?

All 5 parameters (salary, preferred_city, preferred_state, workplace_types, employment_types) have 0% schema description coverage, and the description says nothing about any of them. It does not even hint that every field is optional or that arrays accept multiple values.

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?

"Update matching preferences" gives a verb and a resource, so the agent knows this mutates stored preferences. But "matching preferences" is vague and does not distinguish this tool from the sibling update_job_preferences, which reads almost identically.

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?

No when-to-use, when-not-to-use, or alternative is mentioned. With update_job_preferences and get_preferences in the sibling list, the agent has no stated basis for choosing this tool over them.

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