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 states 'No API key required,' which is a useful permission-related detail, and the verb 'suggest' implies a non-destructive write action. Yet it does not disclose what happens after submission (e.g., whether it creates a ticket or is reviewed), nor does it mention any limits or side effects, leaving a transparency 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, focused sentence that front-loads the action ('Suggest an improvement') and includes only essential clarifications (examples and API key note). Every word earns its place, with no redundant or filler content.

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 5 parameters, no annotations, and no output schema, the description is too sparse to fully guide an agent on how to correctly fill out the request. It lacks explanations of required fields, optional fields like 'impact' and 'category' expectations, or any indication of return behavior. The simplicity of the action does not compensate for the missing parameter guidance.

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, but it does not explain any of the five parameters (title, description, impact, category, submittedBy). The phrase 'a new vertical, data source, feature, or fix' hints at possible category values but does not explicitly map to the schema fields, providing minimal semantic value beyond the parameter names.

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 the tool's purpose with a specific verb ('Suggest') and resource ('improvement to Vertical Marketplace'), enumerating examples like 'a new vertical, data source, feature, or fix.' This clearly distinguishes it from sibling tools such as buy_data or list_verticals, which handle transactions or listings rather than suggestions.

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 provides a clear context for when to use the tool: whenever an improvement to Vertical Marketplace is being proposed. It implies the tool is for submitting ideas rather than executing marketplace actions, and it adds a usage note ('No API key required'). However, it does not explicitly mention alternatives or exclusions, so it falls short of a 5.

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