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

With no annotations, the description must carry the behavioral burden, and it does disclose meaningful traits: the dataset is exhaustive ('every ... card'), the returned columns, the filter matching behavior against two columns, and the CC BY 4.0 license. It omits any statement that this is a static read-only lookup (no rate limits, no mutation), which would be the only remaining gap.

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 sentences, front-loaded with the dataset scope before the filter mechanics, with no filler. The clause listing the four returned fields is slightly list-heavy but each element 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?

There is no output schema, so the description correctly compensates by enumerating the columns returned and the license. Combined with a fully documented single parameter and explicit no-query behavior, an agent has enough to call it correctly; only the read-only/static nature is left implicit.

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 already 100%, so the baseline is 3, but the description exceeds it by clarifying that the filter matches against BOTH the card model and the Fits column, and by supplying example values including a chassis prefix ('BVM-A') that reveal partial/prefix matching.

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 a specific resource ('every Sony BKM option card for the CRT-era BVM and PVM monitors') and enumerates the fields returned (name, function, chassis fit, source). It is clear what the tool yields, but it never names or contrasts with the related sibling sony_monitor_specs, so an agent must infer the boundary itself.

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 explains the filter is optional ('omit for all') and gives concrete example query values ('BKM-129X', 'PVM-20L5', 'BVM-A'), which implies when to pass a query. However, there is no explicit when-to-use guidance versus alternatives such as sony_monitor_specs, leaving the sibling choice to inference.

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