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

With no annotations, the description carries the burden of behavioral disclosure. It reveals that the tool returns options with given fields and supports filtering by a tag value, which is useful behavioral context. However, it does not explain the effect of omitting both parameters, the relationship between filterKey and filterValue, or the response format. Partial disclosure, no side-effect warnings needed for a likely read-only tool.

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 concise sentence with no redundancy or extraneous detail. It front-loads the core resource and then states the optional filtering behavior, making it easy to scan and understand. Every word contributes to the 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?

For a simple list tool with two undocumented optional parameters and no output schema, the description leaves critical gaps. It does not clarify how to use filterKey or that filterKey should be set to a specific tag key, nor does it describe the result when no filter is applied. It also fails to relate the tool to its siblings, leaving the agent unsure about boundary cases.

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?

The input schema has no descriptions for filterKey or filterValue, and schema coverage is 0%, so the description must explain the parameters. It only mentions 'filtered by a tag value,' which hints at filterValue but leaves filterKey entirely unexplained and unclear how the two interact. This is insufficient compensation for the missing parameter documentation.

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 identifies the specific resource ('options') and details its content fields (name, what it is best for, tags) and the optional tag filter. It clearly differentiates from sibling tools like compare_criteria or compare_table by focusing on the options entity. However, it is phrased as a noun phrase without an explicit verb like 'list' or 'retrieve', so it stops short of a fully explicit action statement.

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 description implies when to use the tool: when you need the list of options in the comparison, optionally filtered by tag. It does not mention alternatives or exclusions, such as when compare_criteria or compare_table would be more appropriate. Usage is inferable but not explicitly stated.

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