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get_page

Fetches a Momentic page as Markdown (uses Cloudflare's Markdown for Agents). Pass an absolute path like "/team/jane-doe" or a full momenticmarketing.com URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAbsolute path or full URL on momenticmarketing.com

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations, the description should disclose behavioral traits; it mentions 'uses Cloudflare's Markdown for Agents' but omits details on auth, error handling, rate limits, or whether the operation is read-only.

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, front-loaded with the core function and usage, no unnecessary words or redundancy.

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

Completeness3/5

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

For a simple tool with one required parameter and no output schema, the description covers the basic purpose and parameter usage, but lacks details on return format beyond Markdown, error cases, or behavioral guarantees.

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

Parameters3/5

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

Schema coverage is 100% with a single parameter described. The description reinforces the schema's explanation and adds concrete examples ('/team/jane-doe'), but does not provide significant additional meaning 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?

The description clearly states the tool fetches a Momentic page as Markdown, specifies the verb ('Fetches'), resource ('Momentic page'), and output format, and distinguishes from siblings like analyze_page by focusing on raw content retrieval.

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

Usage Guidelines3/5

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

The description provides clear instructions on parameter format ('absolute path like "/team/jane-doe" or a full URL'), but does not explicitly state when to use this tool versus alternatives like analyze_page or search.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

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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