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

Annotations only declare readOnlyHint=true, so the description carries most of the burden and does well: it discloses the 60%/80% confidence thresholds, the up-to-three binding cap, the coordinate fallback, and that no geometry is loaded or full dataset retained. Rate limits and exact output shape are still unstated.

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?

Reasonably dense but front-loads a vague 'Free dataset-orchestration utility' tag before the useful content, and the trailing 'No payment required' is filler. Several clauses could be tightened without losing meaning.

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?

There is no output schema, so the description must explain return values – and it partially does (up to three bindings at 60%, fallback, recommendation at 80%). But it never fully specifies the binding structure or how the coordinate fallback appears, leaving an agent unsure how to parse the response.

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 coverage is 50%. The description reinforces the 'structural parsing and sampling' intent and the 'do not pre-label geographic system' constraint, which adds meaning over the schema. But two of four parameters (request_id, dataset_context) are undocumented and the description doesn't expand on country_scope or value-count semantics beyond the schema.

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+resource: it takes bounded scalar samples, finds the geography column, and identifies reference system, country, and admin level. It is distinct from the many siblings (identify_reference_system, check_geometry, etc.) though it never explicitly names or contrasts with them, leaving some overlap risk with identify_reference_system.

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?

It implies the calling context (caller does sampling, must not pre-label geography) but never states when to choose this over identify_reference_system or other siblings. No explicit when/when-not/alternative guidance.

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