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

With no annotations, the description discloses the key behavioral trait of case-insensitive exact matching. However, it does not cover read-only safety, permissions, result limits, or return behavior, leaving some burden unmet.

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?

A single, front-loaded sentence that states the dataset, condition, and matching behavior without any wasted words.

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 simple two-parameter lookup, the description adequately explains the filter semantics and implies a rows-based return. It lacks explicit output formatting or pagination details, but no output schema exists and the tool is low complexity.

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 must compensate, and it does: it explains the relationship between column and value and specifies the case-insensitive exact comparison. It still does not enumerate valid column names or value formats.

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?

States the resource (rows of the Immigration Adviser Finder dataset) and the filter condition (column equals a value exactly, case-insensitive). It is clear enough to distinguish an exact-match lookup from broader siblings like dataset_search, though it does not name those alternatives.

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 exact, case-insensitive column-value condition implies when this tool is appropriate, but it gives no explicit when-to-use guidance or alternatives such as dataset_search. It is minimally enough to infer the usage context.

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