Skip to main content
Glama

browser_find

Read-only

Locate elements on a page by searching its accessibility snapshot for text or a regular expression, returning matching nodes with surrounding context and paths.

Instructions

Search the accessibility snapshot of the current page for text or a regular expression. Returns matching snapshot nodes with a few lines of surrounding context (like search snippets), each shown under its path from the root of the tree, which is cheaper than capturing the whole snapshot when you only need to locate an element and its ref.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoPlain text to search for in the page snapshot (case-insensitive substring match). Provide either text or regex, not both.
regexNoRegular expression to search for in the page snapshot. Matching is case-sensitive by default; wrap the pattern in slashes to add flags, e.g. "/error/i" for case-insensitive. Provide either text or regex, not both.
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context: it searches the accessibility snapshot (not DOM), returns snippets with paths, and is cheaper than a full snapshot. No contradictions.

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 two sentences long, front-loaded with purpose and key return details, and contains no unnecessary words. Every sentence earns its place.

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

Completeness5/5

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

Despite no output schema, the description explains what is returned (matching nodes with context and paths). Parameters are fully covered in schema, annotations are present, and the usage advantage is highlighted. The description is complete for the tool's simplicity.

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?

Schema coverage is 100% and both parameters already have detailed descriptions. The tool description does not add new semantic information beyond what the schema provides, so baseline 3 is appropriate.

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 tool searches the accessibility snapshot for text or regex and returns matching nodes with context. It distinguishes itself from sibling tool browser_snapshot by noting it is cheaper and returns only matching nodes.

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 implicitly tells the agent to use this tool instead of browser_snapshot when only locating elements is needed by stating it is 'cheaper than capturing the whole snapshot'. However, it does not explicitly list when not to use or name alternative tools.

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

Install Server

Other Tools

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/DavidG-BLW/MCP_DOCS'

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