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

Annotations already declare readOnly, non-destructive, open-world access, so safety is covered. The description adds genuinely non-obvious behavior: that results are grouped per source with status/reason/thin_data metadata, and a prompt-injection caution telling the agent to treat retrieved rows as data rather than instructions — a real behavioral disclosure. It stops short of describing pagination or failure modes, keeping it from a 5.

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 core capability in the first sentence, then devotes one short line each to site, sources, and the data-safety note. No filler or repetition, though the phrase "status, reason, and thin_data" is terse to the point of being cryptic for an unexplained field name.

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 only two optional parameters, an output schema present, and annotations covering the safety profile, the description supplies everything else an agent needs: default semantics for both params, the breadth of the call, and a warning about untrusted returned text. Nothing material is absent for correct invocation.

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%, so the description must carry the parameter burden, and it largely does: "site" is defined as a host or repo path with empty meaning the current folder (explaining the empty-string default), and "sources" is explained as a name filter that defaults to all when omitted. The only gap is the accepted format of source names, which the agent must guess.

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 ("Get all SEO data of a site") plus a scope claim ("in 1 call"). An agent immediately knows this is a bulk retrieval tool. It does not contrast itself with the sibling list_sites, which is the only missing clarity element.

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 conditional guidance for the sources parameter ("Leave it out to get every source"), which effectively describes when to use the full-scan vs. narrowed mode. However, there is no guidance on when to prefer this tool over list_sites or any other discovery path, so routing between siblings is left to inference.

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 readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds that results include each site's connections, which is useful output context, but says nothing about result size, pagination, or what happens with no sites configured; with an output schema present, this is adequate rather than rich.

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?

A single, front-loaded sentence with no filler; the verb and resource come first. Minor loss for the vague "sites file" phrasing, which could be sharper but does convey scope.

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?

A no-argument, read-only listing tool with annotations and an output schema needs little prose, and the description covers what is listed and roughly what comes back. Only the lack of any hint about result volume or ordering keeps it from a 5.

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 tool takes zero parameters, so there is no parameter meaning to convey and the baseline of 4 applies. The description correctly adds no parameter talk that could mislead.

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 ("List") and resource ("sites") plus an extra detail that the result shows what each site has connected. The only sibling, get_seo_data, is a different resource, so no explicit differentiation is needed, but the phrase "the sites file" leaves the data source slightly opaque.

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: an agent can infer this is the discovery/enumeration call for sites, but the description never says when to call it versus get_seo_data or whether it should precede other lookups. No exclusions or prerequisites are given.

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