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

With no annotations, the description carries the full burden and does reasonably well: it discloses the return shape ('an indented outline, one line per node with title and reader URL'), the usable depth range (1-6), and host restrictions/defaults. It omits permission requirements, rate limits, or failure behavior, but for a read-only outline tool this is solid coverage.

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 dense sentences that lead with the core action and follow with input/constraint detail; nothing is wasted. The second sentence is somewhat packed with host rules, but 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 two-parameter tool with an output schema, the description is nearly complete: purpose, input sources, depth semantics, and host constraints are all present. The main gap is the absence of any cross-reference to sibling tools for routing, which would fully close the loop.

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 compensate and largely does: it defines `depth` as 1-6 levels (a constraint absent from the schema) and explains `url` as any reader URL from search results, TOC lines, or page links, plus the allowed/default hosts. This meaningfully exceeds what the bare `string`/`integer` schema provides.

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 ('Show the table of contents') and pins down scope ('of the publication, or of the subtree under the topic, in `url`'), so the agent knows exactly what is returned. It does not, however, differentiate itself from the closely related sibling `list_publications`, which an agent could easily confuse it with.

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?

It usefully states where valid input comes from ('Reader URLs from any search result, TOC line or page link are valid input') and constrains the allowed hosts, which is real invocation guidance. But there is no explicit when-to-use-this vs. `read_page`/`list_publications` routing, so the selection logic is only implied.

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?

No annotations are provided, so the description carries the full burden, and it does disclose real constraints: a 50-row cap, an allowed-host list with a default host, and that product/version match against the catalog. It omits pagination behavior for results beyond 50 rows and any rate-limit or auth notes, which keeps it out of the top band.

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?

The size is reasonable and the output fields are front-loaded, but the instruction to call list_publications to see valid product/version values is stated twice (once at the start, once mid-sentence), and the host allowlist detail is buried at the end.

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?

An output schema exists so return values need not be explained, and the description still usefully previews row contents. It is complete enough to invoke correctly, with only the unpaginated 50-row cap and the two undocumented filter parameters (locale, title_contains) as residual 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?

With 0% schema description coverage the description must compensate, and it does for three of five parameters: it gives host values/default, plus concrete product ('STEP 7', 'WinCC Unified') and version ('V21', '6.1') examples. `locale` and `title_contains` receive no explanation at all, leaving a measurable 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 and resource ('List documentation publications') and enumerates the exact fields returned (title, product, version, locale, reader URL). It also clarifies its role as a discovery catalog, which separates it from search_docs and the page-reading 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?

Explicitly says to use it to discover valid `product` and `version` values and notes reader URLs feed into read_page and get_toc. There is no explicit when-not-use guidance against sibling search_docs, but the primary scenario is unmistakable.

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?

With no annotations, the description carries the full burden and does disclose meaningful behavior: truncation past `max_chars` with an in-band continuation hint, the header metadata prepended to output, and an allowed-host constraint with a default. It omits auth requirements, failure/error behavior, and whether offset is pagination-stable, but the operational traits it does cover are the ones an agent needs to avoid bad calls.

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 tight sentences, front-loaded with the action and output format, then behavior, then input constraints. The header parenthetical is informative rather than filler; no sentence is redundant.

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?

An output schema exists, so return values need not be re-explained, yet the description still names the header fields. For a read-only, 3-parameter tool it covers retrieval, continuation, and input validity adequately; only failure modes and any access prerequisites remain unaddressed.

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 0%, so the description must compensate. It does explain `url` (valid sources, allowed hosts) and references `max_chars` and `offset` behavior (truncation and continuing with a larger offset), but the offset unit (characters vs. something else), the relationship between the two numbers, and the explicit max_chars threshold semantics are left implicit.

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 ('Read one documentation page as Markdown') plus the return shape (header with publication, version, breadcrumb, source URL). It is clearly distinguishable from siblings that search, list, or return a TOC, since this retrieves a single page's content.

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?

Tells the agent where valid input comes from ('Reader URLs from any search result, TOC line or page link'), which implies the intended search_docs/get_toc -> read_page workflow, and constrains allowed hosts with a stated default. It stops short of an explicit when-not-to-use or a direct pointer to the sibling that produces those URLs.

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?

No annotations are provided, so the description carries the full burden; it discloses the return shape, the 1-50 hit range, the default host, and the allowed hosts. It omits auth/rate-limit or error behavior, which is a modest gap for a read-only search.

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-loaded with purpose, then output format, then chaining and parameter guidance. Dense but each sentence earns its place, with only mild verbosity in the host enumeration.

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?

An output schema exists, and the description still adds chaining and parameter guidance beyond it. With 5 of 6 parameters documented and follow-up routing explained, it is nearly complete, missing only locale and any auth caveats.

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 0%, so the description must compensate, and it does: it documents limit (1-50), product with concrete examples and catalog matching, version with examples, and host with allowed values and default. Only locale is left undocumented.

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 ('Full-text search of Siemens documentation') and scopes it to a domain. It also frames the result's role by pointing to read_page/get_toc for follow-up, letting an agent place it among its siblings without opening a schema.

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?

It routes follow-up actions clearly ('Pass a result's reader URL to read_page or get_toc') and points to list_publications for valid product/version values. It doesn't explicitly state when NOT to use it versus list_publications, but the intended context is clear.

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