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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the write-vs-read question is settled. The description earns credit for adding behavior the annotations cannot express: mutations are 'Logged and undoable', which tells the agent there is an audit trail and a reversal path despite the destructive flag. It still omits whether updates are partial vs. full replacement and whether side effects like tech notifications fire.

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 short sentences, zero filler. The field enumeration is front-loaded and the reversibility fact is compressed into four words ('Logged and undoable'), so every clause earns its place.

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 destructive, six-parameter mutation with no output schema and no schema-level parameter docs, the definition covers the essentials (what can change, that it is logged and reversible) but leaves real gaps: partial-update semantics, valid status values, date format, and what the response returns. Adequate to call correctly in the common case, not 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 0%, so the description carries the burden, and it partly does: it names five of the six parameters in plain language (status, date, tech, waiting_on_parts, note), leaving only job_id as an assumed identifier. However it adds no value formats – no allowed status values, no date format, no guidance on what 'tech' expects (name, id, email) – so the agent still has to guess on typed 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?

The description gives a specific verb ('Change') plus the target resource ('a job') and enumerates the mutable fields: status, date, tech, waiting_on_parts, and note. That is much stronger than the bare title 'Update Job', though it never names a sibling (e.g. book_job for creation, list_jobs for reading) to make the boundary explicit.

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 implied by the field list – an agent can infer this is for modifying an existing job rather than creating one. There is no explicit when-not guidance, no prerequisite (job must exist), and 'undoable' gestures at undo_action without naming it as the recovery path.

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