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 provenance (read from the country's home page graph) and the localised data key path, but says nothing about failure modes, availability beyond the schema's Actives note, or caching/limits for a live scrape-backed read.

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?

Front-loads the return payload before the usage guidance and example, so an agent gets the essentials first. It is somewhat long and leaks internal jargon (ContentProviders:{country}:Webapp:OrganizationSlug) that does not help tool selection.

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?

With no output schema, the description compensates by enumerating the returned fields (legal name, URL, logo, sameAs, address, phone, founding date) and the accompanying JSON-LD graphs. It is largely complete for a simple one-parameter read.

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 the single country parameter is fully documented with format and examples, so the schema already does the heavy lifting (baseline 3). The description only adds a redundant example call.

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 and resource (returns canonical Organization data for Siigo in a country) and enumerates the exact fields returned. The note that the data comes from the country home page, 'the only page that publishes the Organization graph,' implicitly separates it from the generic get_page_structured_data sibling.

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?

Gives an explicit condition: 'Use this when the agent needs trustworthy company facts to cite Siigo as a source.' That is a clear trigger, though no exclusion or named alternative (e.g. when to prefer get_page_structured_data) is offered.

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