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

No annotations exist, so the description carries the full burden. It discloses the return type ('canonical theagentindex.io URLs') and rules out ranking behavior, but says nothing about result ordering, pagination via limit, rate limits, or auth requirements.

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?

Three short, front-loaded sentences with zero wasted words. The scope, return type, and the 'not a ranking' caveat are all delivered efficiently.

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?

Adequate for a parameterized search tool with 80% schema coverage and 0 required params: it identifies the corpus and return format. But with no output schema and no annotations, it omits result structure, ordering/pagination behavior, and routing versus siblings, leaving meaningful gaps.

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 80%, so the schema already documents query, category, framework, and pricing_model semantics. The description adds no parameter-level detail, which is acceptable given the high coverage but earns no extra credit.

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?

States a specific verb (Search) and resource (Agent Index open dataset of GRC, security, and operations AI agents), and clarifies it returns canonical URLs and is 'not a ranking'. This distinguishes it implicitly from compare_agents (ranking/comparison) and get_agent (single fetch), though it never names those siblings.

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 offers no explicit when-to-use guidance or alternatives. 'Not a ranking' mildly signals it is not for ranked comparison, but an agent must infer from sibling names whether to use search_agents vs compare_agents vs get_agent.

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