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BlackLabel Tech Website MCP

read_page

Read one https://blacklabeltec.com page as Markdown (Cloudflare Markdown for Agents) or stripped text, up to 40,000 characters.

Input Schema

NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: output can be Markdown (via Cloudflare Markdown for Agents) or stripped text, and output is capped at 40,000 characters. It omits error behavior, rate limits, and how the format is selected, so it falls short of full transparency.

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?

A single front-loaded sentence with no filler; the scope ('one page'), source, format options, and size limit all earn their place.

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 single-parameter fetch with no output schema, the description covers purpose, format, and the size cap, so an agent knows what it gets back. Gaps remain around format selection and invalid-URL handling, but the core is complete.

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?

Only one parameter exists and schema coverage is 0%, so the schema gives the agent nothing. The description implies the URL should be a blacklabeltec.com page, adding some domain context, but it never clarifies whether non-domain URLs are rejected or how the Markdown vs stripped-text choice is expressed.

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

Purpose4/5

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

States a specific verb (read) and resource (one page) with a clear scope limitation ('one ... page'), which implicitly separates it from the sibling search_pages. It doesn't name the sibling explicitly, so sibling differentiation is left to inference.

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?

Usage is only implied by 'read one page' versus the sibling search tool; there is no explicit when-to-use, when-not-to-use, or named alternative. An agent can infer the single-page intent, but nothing guides it on choosing format or handling retrieval failures.

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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