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

With no annotations, the description carries the full behavioral burden. It does disclose that rows are filtered by 'any' matching values and that returned order follows the input value order. Still, it leaves exact-match semantics, case sensitivity, and the output/row shape unspecified, which an agent would need to predict results precisely.

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?

One dense sentence with no filler: the core behavior and ordering constraint are front-loaded, followed by the use-case cue. Every phrase earns its place, and nothing unnecessarily repeats the schema.

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 two-parameter read-style comparison tool with no output schema and no annotations, the description is minimally viable: it states what is returned, how rows are selected, and when to use it. The missing output-shape details and exact-match semantics are real gaps, but the simple filter-and-order behavior keeps it usable.

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. It clarifies that 'column' is the field being filtered and that 'values' are the match values whose order controls result ordering. It does not explain exact matching behavior or the min/max value constraints, leaving some semantics to the schema's type definitions.

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 names a concrete operation: return BioBricks rows whose column matches any of the supplied values, preserving the order of the given values. The title 'Compare rows side by side' adds a clear comparative intent that distinguishes it from generic fetch, search, or stats tools. It does not explicitly contrast sibling tools, so it stops short of a 5.

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 phrase 'for "X vs Y" questions' gives an explicit scenario for choosing this tool over one-off row or aggregate queries. However, it does not mention any sibling tools or provide negative guidance about when not to use it, so it misses the full alternatives criterion.

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