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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the subject matter—criteria and filters—but does not disclose whether the tool is read-only, what the response shape is, whether it returns a list or a detailed narrative, or whether any side effects exist. For a tool with no annotation safety hints, this is a meaningful 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?

The description is a single sentence with no filler words, making it concise and easy to parse. It front-loads the core resource before the qualifying context. It loses a point because the wording is slightly awkward and spends no effort clarifying the action or usage.

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 zero-parameter tool with no output schema and no annotations, the description minimally explains what the tool is about. It is enough to understand the subject matter but does not fully equip an agent with the expected return behavior or the relationship to sibling tools. Given the low complexity, this is acceptable but not complete.

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 tool has zero parameters and the schema description coverage is 100%, so there are no parameter semantics to document. The description adds useful context by clarifying that the tool concerns the criteria and filters of the 409A valuation comparison, which helps the agent understand what the empty-parameter call will provide.

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 a specific resource: the criteria and filters of the 409A valuation providers comparison for US startups. It also distinguishes this tool from siblings like compare_options and compare_table by indicating this is about the underlying criteria rather than the comparison output itself. However, it is phrased as a noun phrase rather than a verb phrase, so it does not explicitly state an action such as 'returns' or 'describes'.

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?

No guidance is given about when to call this tool versus its siblings. The description does not mention using it before compare_options/compare_table, nor does it exclude cases where another tool would be more appropriate. An agent must infer the intended usage from the tool name and title alone.

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