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Searches across Momentic page URLs from sitemap.xml (case-insensitive substring match on URL). For deeper search, fetch matching pages with get_page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term

TDQS

A4.2/5.0
Behavior3/5

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

No annotations, so description carries full burden. It describes the search behavior but does not mention any potential limitations like result count, caching, or whether it always queries fresh data. Adequate but not thorough.

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?

Two sentences that efficiently convey the tool's purpose and the alternative for deeper search. No redundant information.

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 simple search tool with one parameter and no output schema, the description covers the core functionality. It could mention the result format or absence of content search, but it's mostly complete.

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 already describes 'query' as 'Search term', but description adds specific behavior: case-insensitive substring match on URL. Adds meaningful context beyond the schema.

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?

Clearly states it searches across page URLs from sitemap.xml with case-insensitive substring matching. Distinct from sibling tools like get_page which fetch matching pages.

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?

Explicitly suggests using get_page for deeper search, providing context for when to use this tool. No explicit when-not-to-use, but guidance 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

Each tool has a clearly distinct purpose: page SEO vs site AI discovery vs bot checks vs graph computation vs link extraction vs brand info vs page fetching vs listing vs entity lookup vs freshness parsing vs search. No overlapping responsibilities.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lower_snake_case (e.g., analyze_page, check_bots, compute_link_graph). No mixing of conventions.

Tool Count5/5

11 tools is well-scoped for the server's purpose (SEO/web analysis). Each tool earns its place, covering page, site, bot, link graph, entity, and freshness analysis without unnecessary bulk.

Completeness5/5

The tool surface appears complete for its domain: it covers individual page SEO, site-wide AI discovery, bot accessibility, link graph analysis, entity lookup, and freshness signals. No obvious gaps for the intended analysis workflows.

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