Quantlix public content

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description adds value beyond them by specifying the return format (Markdown) and the boundary that external URLs and private records are out of scope.

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, no filler, with the core action and the path constraint front-loaded before the scope exclusions.

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 one-parameter read tool with no output schema, the description covers the action, the input format, and the scope boundaries. The only real gap is not pointing at search_pages as the way to discover a valid path.

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 0% for the single 'path' parameter, so the description must carry the semantics — and it does, specifying locale-prefixed canonical form, mandatory trailing slash, and a concrete example (/en/about/). This compensates well for the undocumented schema parameter.

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 (read) and resource (the Markdown representation of a published Quantlix page), which is far more precise than a tautology. It does not name the sibling search_pages, so the differentiation from that tool is only implicit.

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 explicit path-form guidance and two exclusions ('Does not fetch external URLs or private records'), which is genuine when-not guidance. However, it never routes the agent to search_pages when the canonical path is unknown, which is the natural alternative for a lookup tool.

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

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds real value beyond them by disclosing that only public content is searched and that results include canonical URLs and Markdown alternatives.

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 no waste: purpose first, then output shape, then the scope constraint. Every sentence 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 read-only search tool with no output schema, the description usefully covers return format. However it omits the meaning of the language filter, the limit behavior, and guidance on chaining into read_page, leaving the definition adequate but not complete.

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 0% and the description never mentions query, limit or language. The enum language values, the 1-50 limit bound, and the 200-char query cap are left entirely to the schema, so the description fails to compensate for the coverage gap.

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 (Find) and resource (published Quantlix pages) plus the matching fields (title, description, path), so the agent knows exactly what the tool does. It does not explicitly differentiate itself from the read_page sibling, but the search-vs-fetch distinction is implicit.

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?

Usage is only implied: finding pages versus reading one with read_page. There is no explicit when-to-use/when-not statement, no mention that results should be followed by read_page, and no note on how the read-only public scope limits results.

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