Amir Pournasserian (pournasserian.com)

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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so safety and repeatability are covered. The description adds the content shape (Markdown plus metadata fields), which is modest value but overlaps the existing output schema rather than disclosing behavior like failure modes when only one page cannot be retrieved.

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 tight sentences, front-loaded with what is returned; the second sentence carries the only invocation detail. No filler or repetition.

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 an output schema present the description need not enumerate return fields, and annotations cover the safety profile; parameters are fully documented. The remaining gap is the absence of any statement about supplying neither id nor url, since zero parameters are required.

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 100%, and the schema itself states 'An alternative to id; pass either one.' The description merely restates that id or url comes from a search result, adding only the provenance of the id, so baseline 3 applies.

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 (returns) and resource (the full content of one page) plus the exact return payload — Markdown text with title, description, language and last-modified date. The sibling 'search' is only implicitly contrasted via 'of a search result', so differentiation is inferable rather than stated outright.

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?

'Pass the id (or url) of a search result' implies the tool is used downstream of search, which gives usable context. However, there is no explicit when-to-use/when-not guidance, no statement that exactly one of id or url is required, and no mention of error behavior when neither is supplied.

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, closed-world, so the safety profile is covered; the description still adds real context beyond them — corpus size (86 pages), index freshness date, hybrid keyword/semantic ranking, and per-result short snippets. The paging contract (offset + limit arithmetic on hasMore) is genuinely behavioral detail not present in the annotations. It falls short of a 5 only because it says nothing about ranking quality or truncation beyond snippets.

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 operational content is front-loaded and tight, but the second and third sentences are marketing bio ("Serial entrepreneur and hands-on AI architect. I build AI and platform systems...") that does nothing to help an agent invoke the tool. Roughly a quarter of the text is off-topic and could be deleted without loss.

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 three-parameter search tool with an output schema, this covers everything an agent needs: what is searched, how results are ranked, what each result contains, how to page, and how to escalate to fetch. Return-value detail is correctly left to the output schema rather than duplicated in prose.

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%, so limit/query/offset are already documented and the baseline is 3. The description adds meaning on top by explaining the offset/limit relationship as a paging formula tied to hasMore, which the schema alone does not express. That is a meaningful increment over the structured fields.

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 ("Searches the website") plus the corpus and mechanism ("Hybrid keyword and semantic search over its 86 pages"). It also explicitly separates itself from its only sibling: "Call fetch with a result's id or URL to read the whole page." An agent can pick between the two without opening either 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?

Gives an explicit conditional next step for paging: "When hasMore is true, call again with offset set to the previous offset plus limit." It also names the alternative tool and the exact condition that selects it (reading a full page via fetch with an id or URL). Nothing about when to use which tool 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.