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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly frames the operation as a read-only 'Return' action and lists the output fields, but it does not explain behavior like how multiple filters combine, whether the id filter returns a single item vs an array, or the default output when no filters are applied. The absence of any side-effect disclosure is acceptable for a list operation, but richer context would improve transparency.

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 two sentences, front-loaded with the core purpose and content, then lists the optional filters. Every sentence earns its place with no filler or redundancy. It is well-structured for quick parsing by an agent.

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 read-only list calculator with three optional filters and no output schema, the description sufficiently covers what is returned, the competitors included, and the filter categories. It does not explicitly state the default behavior when no filters are applied, but 'Return competitor positioning entries' implies all entries by default, which is adequate given the tool's simplicity.

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 coverage is 100% and baseline is 3, but the description adds meaningful context beyond the schema: it enumerates valid id values (e.g., 'truein', 'deputy') and clarifies tier semantics with 'head-on rivals' vs 'adjacent overlaps'. This helps agents map the domain and select correct values, going beyond the schema's generic string/enum descriptions.

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 returns competitor positioning entries, explicitly listing the competitors (Truein, Deputy, etc.) and the exact content (where HelloTime wins, where the competitor wins, pricing notes). This specific verb-plus-resource structure distinguishes it from sibling list tools like list_features or list_plans.

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 usage context by describing the tool's purpose and optional filters, but it does not explicitly state when to prefer this over sibling tools or when not to use it. The sibling names (e.g., feature_search, list_features, list_plans) suggest different domains, yet the description offers no direct comparison or exclusion.

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