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growthmak

Get page content

get_page

Retrieve a Growthmak page as Markdown, given its slug — for example 'blog/the-real-cost-of-a-b2b-lead', 'services/seo-services', 'packages/growth-marketing', 'growth-engine/foundation-layer' or 'case-studies/kinetic-motorcycles'. Use the url returned by search_growthmak to build the slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesPage slug, without a leading slash

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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 that the output is Markdown and that the slug must be used. However, it does not mention error behavior (e.g., what happens with an invalid slug), authentication needs, or rate limits. For a simple read operation, this is adequate but leaves some behavioral unknowns.

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 extremely concise: two sentences. The first sentence defines the core purpose and includes examples; the second provides a usage workflow. Every word is purposeful, and the most critical information (verb, resource, identifier format) comes first.

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 one-parameter retrieval tool without an output schema, the description is nearly complete. It covers the input source, input format, and output format (Markdown). It could be improved by explicitly stating what the return value contains (e.g., full page content), but this is largely implied. The examples and workflow guidance cover the main use case.

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?

The input schema already provides a description for the 'slug' parameter. The description adds significant value by giving concrete examples of valid slugs and explicitly instructing the agent to derive the slug from search_growthmak, going beyond the schema's minimal description.

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 action ('Retrieve a Growthmak page as Markdown'), the resource ('Growthmak page'), and the identifier ('given its slug'). It provides multiple examples of valid slugs, making the purpose unmistakable. The examples also help distinguish this tool from sibling tools like search_growthmak or get_packages.

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 explicitly instructs the agent to use the URL returned by search_growthmak to build the slug, establishing a clear workflow. While it does not explicitly state when not to use this tool (e.g., for non-page resources), the context of sibling tools makes the appropriate usage 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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