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

The description adds genuine context beyond the annotations by disclosing that MCP approval requirements are org-configurable and that business workflow approvals always apply - an agent learns the call may be gated. That said, it never says what happens when approval is needed (rejected? pending?), and with idempotentHint=false it fails to warn that repeated calls create duplicate saved reports. No mention of validation failures for unknown fieldIds.

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 tight sentences with the core purpose front-loaded and no filler. The approval sentence is somewhat boilerplate-flavored but does carry real information, so it 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?

An output schema exists, so return values needn't be explained, but the input side is bare: a nested object at 0% coverage with no guidance on constructing it is the dominant risk when calling this tool. The approval caveat is helpful but does not compensate for the undocumented payload.

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% and the single 'data' parameter is a deeply nested object with name, baseEntity, columns, sorts, filters and description sub-fields. The description adds only one semantic point - that dataset/columns must match registry definitions - and says nothing about required fields, column/filter limits, or the shape of the payload.

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?

"Save a report using the report registry's exact dataset and column definitions" gives a specific verb (save/create) and resource (saved report), plus an important qualifier that the content is registry-defined. It implies a create-vs-update distinction relative to update_saved_report, but never names that sibling or list_saved_reports.

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 mention of the "report registry's exact dataset and column definitions" implies the prerequisite workflow of reading get_report_registry first, which is useful. However, there is no explicit statement of when to use this vs update_saved_report (updating an existing report), duplicate_saved_report-style cloning, or run_report/export_report, so the agent must infer the routing.

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