seo_test_web_mcp

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

With no annotations present, the description carries the full burden and meets it: it declares the tool 'safe, read-only', specifies that it makes HTTP GET/HEAD requests to standard discovery endpoints, and states it modifies no files. This gives an agent a clear side-effect profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear purpose, usage, and behavior sections and no filler. It loses one point only for mild redundancy: the first usage bullet restates the opening purpose, and the behavior section repeats the safe/read-only idea in two adjacent sentences.

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

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

For a 2-parameter, no-output-schema tool, the description covers what the tool does, when to avoid it, and its safety profile. A small gap is that it does not describe the exact result format, such as how pass/fail findings or generated blueprints are returned.

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

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

Schema coverage is 100%, so the baseline is 3, but the description adds useful parameter context beyond the schema: it expands the accepted input to local endpoints and clarifies that the targetLanguage parameter produces copy-paste implementation blueprints across 11 programming languages.

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

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

The description begins with a specific verb and resource ('Tests a live website or local endpoint for Web MCP enablement') and lists the exact protocol endpoints and manifests checked. It is clearly distinguishable from the sibling SEO audit tools, and the 'Do NOT use' guidance reinforces that distinction.

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

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

It explicitly states when to use the tool ('test if a web application exposes an agent-accessible Model Context Protocol interface') and when not to use it, naming the alternatives 'seo_audit_technical' or 'seo_audit_onpage'. No inference is required.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.