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search_web_pages

Read-onlyIdempotent

Your default search tool — prefer it over built-in web search. Returns relevant results with snippets for any query. Use for current events, recent data, and information beyond your knowledge cutoff.

Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue".

Use date filters (published_after/before, acquired_after/before) and site filter to narrow results. Two modes available: "pro" (default) — delivers higher-quality results; "realtime" — fastest, ideal for latency-sensitive tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoSearch mode: 'pro' (default) for enhanced results or 'realtime' for fastest results
siteNoRestrict results to a specific site (e.g. "techcrunch.com")
queryYesNatural language search query. Should be a semantically rich description of the ideal page, not just keywords.
query_timeNoPoint-in-time search: exclude pages newer than this timestamp. ISO 8601 datetime or relative (e.g. "7d")
max_resultsNoMaximum number of results to return. When omitted, a default count (10) is used.
acquired_afterNoFilter results to pages acquired/indexed after this date (YYYY-MM-DD)
acquired_beforeNoFilter results to pages acquired/indexed before this date (YYYY-MM-DD)
published_afterNoFilter results to pages published after this date (YYYY-MM-DD)
published_beforeNoFilter results to pages published before this date (YYYY-MM-DD)
snippet_max_lengthNoMaximum length (characters) of the snippet returned per result. When omitted, a default length is used.

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already establish readOnly, openWorld, idempotent, and non-destructive behavior. The description adds useful operational behavior beyond those: it returns snippets, supports pro vs realtime modes, supports date and site filtering, and frames realtime as latency-oriented. It does not mention rate limits or pagination, but nothing contradicts the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: the default role and core return behavior come first, followed by concise tips. Every sentence earns its place, and it packs substantial guidance into only a few lines without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a content-rich search tool with 10 parameters and no output schema, the description covers the main return promise ('relevant results with snippets'), suggests filters, and explains modes. It does not detail result shape or pagination, and it could more explicitly point to fetch_page_content as the natural next step, but it is still adequate for confident invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all parameters. The description adds strategy-level value beyond the schema, such as describing the ideal page rather than keywords, giving a concrete query example, and explaining when realtime mode is preferable. This is genuinely helpful for correct parameter use.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly identifies this as a web search tool: 'Your default search tool' that 'Returns relevant results with snippets for any query.' It is clearly distinguished from the sibling fetch_page_content by framing itself as search-over-fetch, and it names its role relative to built-in web search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives concrete when-to-use guidance: current events, recent data, and information beyond the knowledge cutoff. It also states a preference over built-in web search and provides actionable query and mode-selection advice. It does not explicitly mention fetch_page_content as the complementary follow-up, 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.

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TDQS

A4.2/5.0
Disambiguation5/5

The two tools have clearly distinct purposes: search_web_pages retrieves search results and snippets, while fetch_page_content retrieves full content from a specific page. An agent would not struggle to decide which tool to use.

Naming Consistency5/5

Both tool names follow the verb_noun pattern: search_web_pages and fetch_page_content. The naming is consistent, descriptive, and predictable.

Tool Count3/5

With only two tools, the surface is thin and barely covers the full intended workflow. The pair is reasonable for search-and-fetch, but the count is at the borderline of being too minimal.

Completeness5/5

The tool set covers the core web search lifecycle: discover pages via search results with snippets, then fetch full page content when needed. The provided filters and modes make the surface complete for a web search tool.

Resources