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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that submissions are saved as pending and human-reviewed with nothing published automatically, but it omits permissions, duplicate handling, error behavior, and any post-submission editing or withdrawal process.

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 short sentences with no filler, and the core action is front-loaded before the review-process caveat. Every sentence contributes directly to understanding the submission workflow.

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 an eight-parameter submission tool with no annotations, low schema coverage, and no output schema, the description is too thin. It covers only the pending-review behavior and leaves an agent without guidance on required inputs, constraints, or expected outcomes.

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 only 38%, with five required parameters and eight total parameters, yet the description adds no parameter-level meaning at all. It does not clarify fields such as name, one_liner, category, tags, or agent_name that the schema leaves undescribed.

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 states a specific action and resource: suggest a product for the directory. It implicitly contrasts with read-oriented siblings such as get_project, list_categories, and search_projects, though it does not explicitly name an alternative or scope constraint.

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 gives no when-to-use guidance, no prerequisites, and no routing advice versus the sibling read tools. It explains what happens after submission, but not when an agent should choose this tool over browsing or searching the directory.

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