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

With no annotations, the description must carry the full behavioral burden. It only discloses that matching is case-insensitive, but omits critical details like whether multiple rows can be returned, how column names are handled, or any performance or error behavior. This is insufficient for a tool with zero annotation coverage.

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 a single, focused sentence that front-loads the core behavior. It is not verbose and avoids redundancy, earning a high score for conciseness. However, its brevity limits the amount of useful information conveyed.

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?

Given the tool has only two parameters, no output schema, and no annotations, the description should provide sufficient context for an agent to call it correctly. It lacks usage guidance, return format details, and edge-case handling. The ambiguity between 'row' (singular) in the title and 'rows' (plural) in the description further reduces completeness.

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 clarify parameter meaning. It states that 'column' is a column in the dataset and 'value' is the exact value to match, but adds little beyond the parameter names. It doesn't specify formats, whether column names are case-sensitive, or how values are represented.

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 that the tool returns rows from the Keysvo dataset where a specified column equals a value exactly, with case-insensitivity. It identifies the resource and operation distinctly, though it doesn't explicitly differentiate from sibling tools like dataset_search. The title reinforces the 'exact key' purpose, making it understandable.

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?

There is no guidance on when to use this tool versus alternatives. No mention of when exact matching is preferred over fuzzy search (dataset_search) or when to use other sibling tools. The agent receives no context for selecting this tool over others.

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