excel_update_range

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

Annotations already carry the safety profile (readOnlyHint=false, destructiveHint=true, idempotentHint=true), so the bar for added value is lower. The description adds useful context: writes require an approval_ref when resuming, Spring verifies the claimed effect, and idempotency_key serves as stable business-action identity. It does not contradict the annotations; the write/destructive framing aligns with readOnlyHint=false.

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 compact and well-organized: a header line, a governance note, and a clean args list that front-loads the routing constraint. The only waste is the slight redundancy between the first two sentences (name restatement plus platform tool reference).

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?

The governance/identity plumbing is explained adequately, but the tool's actual domain semantics are absent: what range gets updated, what the arguments JSON must contain, and how the update is expressed. An agent could fill in project_id and approval_ref correctly but would be guessing at the arguments payload. The presence of an output schema lightens the return-value burden, but the input-side gap is significant for a wrapper whose core business logic lives in an undocumented JSON string.

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?

With 0% schema description coverage, the description must compensate, and it gives useful glosses for the governance parameters (project_id as Authenticated Project UUID, connector_account_ref as project-bound alias, approval_ref as approved task UUID). However, the domain-critical `arguments` parameter—the JSON payload that carries the actual range-update intent—is described circularly as 'JSON string of arguments for the connector operation', providing no structure for what an agent should put inside it.

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 says 'Excel connector operation `update_range`', which restates the tool name without explaining what the operation actually does—there is no mention of updating cell values, specifying a range, or modifying worksheet data. It names the platform tool (`excel.update_range`) but never states the function in its own terms.

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 guidance is given on when to use this tool versus alternatives like excel_get_range, excel_add_worksheet, or excel_list_worksheets. The governance routing note ('Routes only through the exact project/account governed connector authority') describes an execution constraint, not a usage condition. No exclusions, prerequisites, or alternative-selection criteria are provided.

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