Skip to main content
Glama
codeiva11
by codeiva11

deep_analysis

Inspect a webpage's DOM, scripts, stylesheets, accessibility, performance, SEO tags, headers, and technologies to uncover issues and receive content-loading strategy recommendations.

Instructions

Inspect the current page in depth: DOM structure, scripts, stylesheets, accessibility, performance metrics, SEO tags, response headers, loaded technologies, and content-loading strategy recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailedNo
aiInsightsNoInclude loading strategy recommendations
detectAccessControlsNoIdentify embedded widgets and page components

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv3.2.13

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden and does identify the tool as an inspection ('Inspect') that covers many read-oriented aspects of a page. However, it does not disclose whether the operation is truly read-only, whether it triggers network requests, how long it may take, or how results are returned. The listed coverage areas provide useful transparency, but side effects and output behavior remain unclear.

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

Conciseness4/5

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

The description is a single dense sentence that front-loads the main purpose ('Inspect the current page in depth') before listing coverage areas. It is compact and free of filler, though the long enumerate list is slightly run-on and could be structured with separators or short phrases for easier scanning.

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 broad analysis tool with no output schema and no annotations, the description lists what is inspected but not what the agent should expect in return, whether results are aggregated, or how the optional boolean parameters alter the output. It is adequate for a first-order understanding but leaves operational detail unexplained.

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

Parameters2/5

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

Schema description coverage is only 67%, and the tool description adds no parameter-level meaning. The 'detailed' boolean is left undocumented, and the 'detectAccessControls' schema description ('Identify embedded widgets and page components') appears mismatched with the parameter name. The tool description echoes 'content-loading strategy recommendations' which maps to aiInsights, but that is redundant with the schema rather than additive.

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 uses a specific verb ('Inspect') and a concrete resource ('the current page'), and then enumerates a distinctive set of inspection areas (DOM, scripts, stylesheets, accessibility, performance, SEO, response headers, technologies, loading strategies). This makes it clearly distinguishable from sibling tools like see_page or get_content, which are narrower content/visual viewers.

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 implies the tool is for comprehensive, multi-faceted page analysis, but it does not explicitly state when to use it over siblings such as see_page, get_content, extract_data, or api_analyzer. There are no when-not-to-use conditions or alternative routing hints, leaving the agent to infer the intended use case.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/codeiva11/Real-Browser-Mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server