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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so safety is covered. The description adds valuable operational context: it discloses the $0.01 USDC cost via x402, a critical fact for an agent deciding to invoke a paid tool, and specifies the normalization scope (abbreviations, suffixes, formatting). No contradiction with annotations.

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 sentences, front-loaded with the core action and outcome. The example and cost are appended without fluff; every clause earns its place.

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 single-parameter, read-only tool with rich annotations, the description covers purpose, input variants, example output, and cost. It does not describe the exact response shape, but in the absence of an output schema and for such a simple operation, the canonical-form outcome is inferable from the example. Minor gap: no failure/edge-case behavior (e.g., unknown org names).

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 schema fully describes the only parameter ('org') with an example, so baseline is 3. The description adds meaning by explaining what kinds of input are handled ('abbreviations, suffixes, and formatting') and reiterating the transformation with a concrete example, clarifying that period-laden forms like 'b.o.a.' are valid inputs.

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 ('Standardize'), a clear resource ('an organization name'), and the outcome ('canonical form'). Gives a concrete example that disambiguates from sibling matching tools like interzoid_org_match_score. The title and description align, and the behavior is distinct from other entity standardization 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 implies the use case (normalizing messy org names) but never tells the agent when to prefer this over related siblings such as interzoid_org_match_score or interzoid_company_verification. No exclusions or alternative routing are provided. With over 50 siblings, explicit guidance would materially help selection.

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