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MagicScreenshots

Get discovery document

get_magicscreenshots_discovery_document
Read-onlyIdempotent

Fetch a known agent discovery document such as API catalog, Agent Skills, MCP, OAuth metadata, OpenAPI, or llms.txt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, openWorld, so the safety profile is covered. The description adds that these are 'known' hosted discovery files, implying well-known-path fetching, but says nothing about failure modes (unknown endpoint, 404) or response format. Adds only modest context beyond 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?

A single front-loaded sentence with the verb and resource first, then the enumerations. No filler, nothing redundant.

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?

With one required enumerated parameter, no output schema, and full annotation coverage, the description supplies enough to select the right endpoint and understand what kind of document comes back. It stops short of describing return format or error behavior, but nothing critical to invocation is missing.

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 description coverage is 0%, so the description must carry the load for the single endpoint parameter. It does meaningful work by grouping the raw enum strings into recognizable document categories (API catalog, Agent Skills, MCP, OAuth metadata, OpenAPI, llms.txt), making the enum values interpretable rather than opaque paths.

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 (Fetch) and a specific resource (agent discovery document), then enumerates the concrete document kinds the endpoints map to. An agent can distinguish this from siblings like get_magicscreenshots_markdown or get_magicscreenshots_site_summary, though it never names them explicitly.

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

Usage Guidelines2/5

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

There is no guidance on when to call this versus the sibling document tools (markdown, site summary), nor any note that the endpoint must be one of the well-known paths. Usage is only implied by the examples given.

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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