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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds context about the content returned (checklist, printer stats, problems) but does not disclose additional behavioral traits such as error handling, rate limits, or side effects. It goes slightly beyond a bare schema but does not significantly enrich behavioral transparency.

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?

The description is two sentences with no wasted words. The purpose is front-loaded, and each sentence earns its place: the first enumerates the returned data, the second clarifies the unique value and parameter usage. It is dense yet readable, achieving conciseness without sacrificing 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 single-parameter read-only tool with no output schema, the description is complete. It details exactly what data will be returned, explains where to source the job_id, and relies on annotations for the safety aspect. An agent has everything needed to invoke the tool correctly without further inference.

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%, so the schema already documents that job_id is the maintenance job id. The description adds meaningful semantics by explaining how to obtain the id: 'list_maintenance_jobs returns it as "id"'. This bridges the gap between schemas and practical usage, adding value beyond the structured field definition.

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 clearly states the verb and resource: 'Full detail for one maintenance job' and enumerates the specific data included: task checklist, per-task completion, assignee, spare-part requirement, printer stats, linked and unresolved problems. It also distinguishes itself from siblings by noting that 'Task checklists and spare-part requirements are available nowhere else over MCP', making its unique purpose 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?

The description gives clear context on when to use the tool: for a single maintenance job's full detail. It also implies when not to use other tools by stating that checklists and spare-part requirements are unique to this tool. However, it does not explicitly name alternatives or provide exclusions beyond that uniqueness, so it falls short of the highest bar.

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